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Journal articles on the topic 'Forecast net profit and Charging'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Goulielmos, Alexandros. "“After End-2008 Structural Changes in Containership Market” and Their Impact on Industry’s Policy." International Journal of Financial Studies 6, no. 4 (2018): 90. http://dx.doi.org/10.3390/ijfs6040090.

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The inability of carriers to forecast “demand for containerships” led them to order larger ships. Maritime economists were also unable to forecast it. The new-buildings cut cost per TEU, but “estimated economies of scale” are exhausted with ships beyond 21,000 TEUs, higher than the present. As average cost-AC was not at minimum, carriers did not produce at minimum efficient scale (MES). As larger ships are more competitive, smaller ships led to laid-up, and eventually scrapped. This strategy, however, did not bring the desirable balance between demand and supply. Due to falling demand, followi

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Tsvil, Mariya, and D. Rozhkova. "ECONOMETRIC ANALYSIS OF GAZPROM'S NET PROFIT." Science & World 2023, no. 4 (2023): 91–95. http://dx.doi.org/10.26526/2307-9401-2023-4-91-95.

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Oil and gas revenues make up the largest part of the state budget revenues. This article presents an econometric analysis of the net profit of Gazprom PJSC, how the net profit is formed based on the volume of gas produced. The forecast values of net profit for 2022 and 2023 have been compiled. In addition, the conclusion concludes about the features of the dynamics of these indicators

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Lomakin, Nikolay I., Tatyana I. Kuzmina, Maxim S. Maramygin, et al. "HIERARCHICAL CLUSTERIZATION AND DEEP LEARNING MODEL RANDOM FOREST OF BANKS’ STABILITY UNDER RISK CONDITIONS." Krasnoyarsk Science 13, no. 1 (2024): 88–102. http://dx.doi.org/10.12731/2070-7568-2024-13-1-235.

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Certain theoretical aspects of the stability of Russian banks under risk conditions have been studied. The relevance is due to the fact that in conditions of market uncertainty and risk, approaches to ensure the stability of banks using artificial intelligence are increasingly being used. The goal is to identify patterns between the characteristics of Assets and ROA (Return on Assets), an indicator of return on assets, and obtain a forecast value of Sberbank’s net profit. The result of the study was hierarchical clustering, as well as the generated Deep Learning model Random Forest, which calc

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Dukpa, Andu, and Boguslaw Butrylo. "MILP-Based Profit Maximization of Electric Vehicle Charging Station Based on Solar and EV Arrival Forecasts." Energies 15, no. 15 (2022): 5760. http://dx.doi.org/10.3390/en15155760.

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Electric vehicles (EVs) will be dominating the modes of transport in the future. Current limitations discouraging the use of EVs are mainly due to the characteristics of the EV battery and lack of easy access to charging stations. Charging schedules of EVs are usually uncoordinated, whereas coordinated charging offers several advantages, including grid stability. For a solar photovoltaic (PV)-based charging station (CS), optimal utilization of solar power results in an increased revenue and efficient utilization of related equipment. The solar PV and the arrival of EVs for charging are both hi

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Chen, Tianyi. "Financial Analysis and Net Profit Prediction about Shanghai Jahwa Corporation." BCP Business & Management 23 (August 4, 2022): 1–10. http://dx.doi.org/10.54691/bcpbm.v23i.1328.

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Implementing financial analysis by financial ratios is a reliable approach to comprehend a firm’s condition. Besides that, Dupont analysis is a way which regards return on equity as the core ratio of the system and decompose the core into an equation that consists of three other ratios. Forecast of net profit can assist investors in making investment decision. In this work, representative financial ratios are selected and divided into four groups that indicate four main abilities severally. Line charts are produced to show variation tendency of the enterprise’s four main abilities. Dupont anal

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Xiang, Boyu, Zhengyang Zhou, Shukun Gao, Guoping Lei, and Zefu Tan. "A Planning Method for Charging Station Based on Long-Term Charging Load Forecasting of Electric Vehicles." Energies 17, no. 24 (2024): 6437. https://doi.org/10.3390/en17246437.

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During the planning and construction of electric vehicle charging stations (EVCSs), consideration of the long-term operating revenue loss for investors is often lacking. To address this issue, this study proposes an EVCS planning method that takes into account the potential loss of long-term operating revenues associated with charging facilities. First, the method combines the Bass model with electric vehicle (EV) user travel characteristics to generate a charging load dataset. Then, the cost of profit loss—which represents the EVCS utilization rate—is incorporated into the construction of the

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Shabbar, Rawan, Anemone Kasasbeh, and Mohamed M. Ahmed. "Charging Station Allocation for Electric Vehicle Network Using Stochastic Modeling and Grey Wolf Optimization." Sustainability 13, no. 6 (2021): 3314. http://dx.doi.org/10.3390/su13063314.

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Optimal placement of Charging stations (CSs) and infrastructure planning are one of the most critical challenges that face the Electric Vehicles (EV) industry nowadays. A variety of approaches have been proposed to address the problem of demand uncertainty versus the optimal number of CSs required to build the EV infrastructure. In this paper, a Markov-chain network model is designed to study the estimated demand on a CS by using the birth and death process model. An investigation on the desired number of electric sockets in each CS and the average number of electric vehicles in both queue and

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Xiong, Wanjun. "A Financial Valuation and Forecast of Changan Automobile." Advances in Economics, Management and Political Sciences 146, no. 1 (2025): 132–40. https://doi.org/10.54254/2754-1169/2024.ld19069.

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Changan Automobile, one of Chinas largest automotive groups, boasts a longstanding legacy and a substantial presence in the global automotive market. This paper provides a comprehensive analysis of Changans strategic initiatives, diverse market segments, and forecasts for production, sales, operating income, and net profit growth over the coming years. The company's commitment to electric vehicles (EVs) and sustainable practices positions it as a key player in the competitive automotive landscape. With a focus on innovation and adapting to market demands, Changan has experienced a favorable gr

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Lomakin, N. I., M. S. Maramygin, A. A. Polozhentsev, N. T. Shabanov, S. A. Naumova, and M. K. Starovoytov. "RF Deep Learning Model "Random Forest" for Forecasting Organizational Profit in the Digital Economy." Mezhdunarodnaja jekonomika (The World Economics), no. 11 (November 30, 2023): 824–39. http://dx.doi.org/10.33920/vne-04-2311-06.

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The relevance of the study lies in the fact that in modern conditions, artificial intelligence systems are increasingly used to support management decisions regarding the formation of an organization’s development strategy and other tasks. The purpose of the study is to forecast the profit of a credit institution using the Random Forest Regressor method to support management decision-making in a digital ecosystem. Among the methods in the presented work, the deep learning model "Random Forest" (RF — random forest), a multivariate regression model based on artificial intelligence, and the Graph

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Chen, Yi-An, Wente Zeng, Adil Khurram, and Jan Kleissl. "Cost-Optimal Aggregated Electric Vehicle Flexibility for Demand Response Market Participation by Workplace Electric Vehicle Charging Aggregators." Energies 17, no. 7 (2024): 1745. http://dx.doi.org/10.3390/en17071745.

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In recent years, with the growing number of EV charging stations integrated into the grid, optimizing the aggregated EV load based on individual EV flexibility has drawn aggregators’ attention as a way to regulate the grid and provide grid services, such as day-ahead (DA) demand responses. Due to the forecast uncertainty of EV charging timings and charging energy demands, the actual delivered demand response is usually different from the DA bidding capacity, making it difficult for aggregators to profit from the energy market. This paper presents a two-layer online feedback control algorithm t

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Lugachev, M. I., N. V. Ulianova, and K. G. Skripkin. "New Approaches to the Interpretation of Balance in the Digital Economy." Statistics and Economics 17, no. 3 (2020): 25–36. http://dx.doi.org/10.21686/2500-3925-2020-3-25-36.

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The purpose of the article is to theoretically prove the possibility of generating forecast information in the balance-sheet regarding profit indicators, net inflow of operating money and financial capital. According to the authors, the system of these indicators is revealed in dynamics, thus reflecting the impact of profit on the financial condition of the organization. A logical and accounting balance-sheet relationship is established between actual and forecast indicators that characterize the financial condition in the past and future. By analyzing the processes in the operating cycle, the

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Insan, Dokrak, Wattanapong Rakwichian, Parichart Rachapradit, and Prapita Thanarak. "The Business Analysis of Electric Vehicle Charging Stations to Power Environmentally Friendly Tourism: A Case Study of the Khao Kho Route in Thailand." International Journal of Energy Economics and Policy 12, no. 6 (2022): 102–11. http://dx.doi.org/10.32479/ijeep.13535.

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The growing demand for electric vehicle charging stations is due to the increasing number of electric vehicles due to the rapid development of electric vehicle production and people buying more. This has also increased the demand for electric vehicle charging stations to travel between cities. This is because most combustion cars nowadays use fossil fuels. It harms clean air, producing carbon dioxide (CO2), PM2.5, and greenhouse gas emissions, resulting in climate changes and natural environmental impacts. Directly affect people in terms of health, living, and present life. By emphasizing the

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Miao, Miao, Suhua Lou, Yuanxin Zhang, and Xing Chen. "Research on the Optimized Operation of Hybrid Wind and Battery Energy Storage System Based on Peak-Valley Electricity Price." Energies 14, no. 12 (2021): 3707. http://dx.doi.org/10.3390/en14123707.

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The combined operation of hybrid wind power and a battery energy storage system can be used to convert cheap valley energy to expensive peak energy, thus improving the economic benefits of wind farms. Considering the peak–valley electricity price, an optimization model of the economic benefits of a combined wind–storage system was developed. A charging/discharging strategy of the battery storage system was proposed to maximize the economic benefits of the combined wind–storage system based on the forecast wind power. The maximal economic benefits were obtained based on scenario analysis, takin

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Maharanie, Dhea Sinta, and Ani Wilujeng Suryani. "PERAMALAN PERUBAHAN PROFITABILITAS PERUSAHAAN MENGGUNAKAN PERUBAHAN ASSET TURNOVER DAN PROFIT MARGIN." Ekonomi Bisnis 28, no. 2 (2023): 86. https://doi.org/10.17977/um042v28i2p22-33.

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Financial analysis is an important component of a business because it enables forecasting of future performances. Return on net operating assets (RNOA) is commonly used measurement to forecast changes in company profitability. As such, the purpose of this study is to forecast profitability through the use of RNOA. The study was carried out on companies listed on the IDX30 from 2012 to 2018. Weighted least squared regression panel data is used to examine the effect of RNOA on company profitability forecast. The results show that ΔRNOA disaggregation has a positive effect on company profitabilit

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Khassanov, Adil. "The Impact of Corporate Governance on the Cost of Equity for Russian Companies in the Ohlson Model." Journal of Corporate Finance Research / Корпоративные Финансы | ISSN: 2073-0438 15, no. 1 (2021): 5–18. http://dx.doi.org/10.17323/j.jcfr.2073-0438.15.1.2021.5-18.

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The purpose of this paper is to identify key indicators of corporate governance that affect the market value of Russian companies. To this end, we examine the possibility of modifying the Ohlson model of evaluating stock price dynamics in public companies, by adding corporate governance variables that may affect market value. The study consists of the following stages: the key points of the Ohlson economic model are described, empirical works that demonstrate corporate governance as a factor in assessing the value of companies are presented, and the significance of the modified Ohlson mo

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Jibara, Nurhalisa Nurhalisa, Anwar Anwar Ramli, and Nurman Nurman Nurman. "ANALISIS RASIO KEUANGAN SEBAGAI ALAT PERENCANAAN LABA PADA PT BANK TABUNGAN NEGARA (PERSERO) TBK PERIODE 2017-2021." Jurnal Pabean. 4, no. 2 (2022): 217–30. http://dx.doi.org/10.61141/pabean.v4i2.312.

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Penelitian ini bertujuan untuk mengetahui perencanaan laba PT Bank Tabungan Negara (Persero) Tbk periode 2022 dilihat dari rasio profitabilitas. Populasi dalam penelitian ini yaitu laporan keuangan PT Bank Tabungan Negara (Persero) Tbk. Adapun sampel dalam penelitian yaitu laporan neraca dan laporan laba rugi komprehensif PT Bank Tabungan Negara (Persero) Tbk tahun 2017-2021. Teknik pengumpulan data dalam penelitian ini yaitu menggunakan teknik dokumentasi dimana jenis datanya yaitu sekunder. Teknik analisis data yang digunakan yaitu analisis rasio profitabilitas yang terdiri dari Net Profit M

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Zhang, Jing, Xian Zhao, and Yanbo Song. "Joint optimization of reliability design and spares inventory for a use-oriented product-service system based on the electric vehicle charging station." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 235, no. 4 (2021): 676–89. http://dx.doi.org/10.1177/1748006x20983975.

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With the shift of business pattern from the traditional manufacturer orientation to customer orientation, the product-service system has become more and more popular. This paper takes an electrical vehicle charging station as the research object and builds a joint optimization model of reliability design and spares inventory with the objective of maximizing net profit under the constraints of availability and customer’s loss rate. Particularly, this model considers not only two types of services, namely fast charging and slow charging but also the transfer of customers between different types

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S., Sheik Mohammed, Femin Titus, Sudhakar Babu Thanikanti, Sulaiman S. M., Sanchari Deb, and Nallapaneni Manoj Kumar. "Charge Scheduling Optimization of Plug-In Electric Vehicle in a PV Powered Grid-Connected Charging Station Based on Day-Ahead Solar Energy Forecasting in Australia." Sustainability 14, no. 6 (2022): 3498. http://dx.doi.org/10.3390/su14063498.

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Optimal charge scheduling of electric vehicles in solar-powered charging stations based on day-ahead forecasting of solar power generation is proposed in this paper. The proposed algorithm’s major objective is to schedule EV charging based on the availability of solar PV power to minimize the total charging costs. The efficacy of the proposed algorithm is validated for a small-scale system with a capacity of 3.45 kW and a single charging point, and the annual cost analysis is carried out by modelling a 65 kWp solar-powered EV charging station The reliability and cost saving of the proposed opt

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SINGH, RAMALPREET, RK PAL, KK GILL, SK MISHRA, and ANUREET KAUR. "Validation of medium range weather forecasts and its economic impact on cotton-wheat cropping system in South-Western Punjab." MAUSAM 73, no. 4 (2022): 925–38. http://dx.doi.org/10.54302/mausam.v73i4.6019.

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The value-added medium range weather forecast, received from Meteorological Centre, Chandigarh was validated using actual data taken from Agro-meteorological observatories of Bathinda and Faridkot, districts of Punjab during 2013-14 to 2017-18. Moreover, to study the economic impact of the forecast, field experiments were conducted during Rabi 2016-17 on wheat and Kharif 2017 on cotton having two sowing time and two management levels as adoption and non-adoption of agromet advisory services with four replications. Result revealed that, among the years and seasons, maximum accuracy was found wi

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Kim, Chi-Yeon, Chae-Rin Kim, Dong-Keun Kim, and Soo-Hwan Cho. "Analysis of Challenges Due to Changes in Net Load Curve in South Korea by Integrating DERs." Electronics 9, no. 8 (2020): 1310. http://dx.doi.org/10.3390/electronics9081310.

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The development of Distributed Energy Resources (DERs) is essential in accordance with the mandatory greenhouse gas (GHG) emission reduction policies, resulting in many DERs being integrated into the power system. Currently, South Korea is also focusing on increasing the penetration of renewable energy sources (RES) and EV by 2030 to reduce GHGs. However, indiscriminate DER development can give a negative impact on the operation of existing power systems. The existing power system operation is optimized for the hourly net load pattern, but the integration of DERs changes it. In addition, since

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Fedotova, G. V., Yu A. Kapustina, Yu I. Sigidov, G. K. Dzhancharova, R. M. Lamzin, and Tsitsige. "Application of neurointelligence technology in predicting the development of agribusiness." IOP Conference Series: Earth and Environmental Science 1112, no. 1 (2022): 012031. http://dx.doi.org/10.1088/1755-1315/1112/1/012031.

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Abstract Neural networks have proven to be highly adaptable to various tasks associat-ed with large data sets and their processing in order to obtain new knowledge and data for subsequent planning of the development of various systems. Neural networks are used not only in the processing of large data sets, but also in the construction of predictive models. In this article, we built a neural net-work model for calculating and forecasting profit index of the agro-industrial complex (AIC) of Russia, on the basis of aggregated input factor parameters, reflecting the potential of the industries. In

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Ломакин, Н. И., Т. А. Матвеева, В. Б. Светличная, Н. А. Водопьянова, О. А. Гаврилова, and А. В. Горбунова. "Neural network forecast of net profit of russian insurance companies in the conditions of digitalization of the economy." Экономика и предпринимательство, no. 11(124) (December 23, 2020): 1288–91. http://dx.doi.org/10.34925/eip.2020.124.11.258.

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В статье проводится анализ и рассматриваются тенденции развития страхового рынка России. Предложен нейросетевой алгоритм в целях прогнозирования чистой прибыли российских страховых компаний. Выдвинута и доказана гипотеза, что на основе применения AI-системы, можно сформировать прогноз чистой прибыли российской страховой компании, что определяет актуальность и практическую значимость проведенного исследования в условиях цифровизации экономики. При формировании нейросетевой модели использовались результаты деятельности отечественных страховых компаний, вошедших в "Топ-10". The article analyzes a

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An-Vo, Duc-Anh, Kate Reardon-Smith, Shahbaz Mushtaq, David Cobon, Shreevatsa Kodur, and Roger Stone. "Value of seasonal climate forecasts in reducing economic losses for grazing enterprises: Charters Towers case study." Rangeland Journal 41, no. 3 (2019): 165. http://dx.doi.org/10.1071/rj18004.

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Seasonal climate forecasts (SCFs) have the potential to improve productivity and profitability in agricultural industries, but are often underutilised due to insufficient evidence of the economic value of forecasts and uncertainty about their reliability. In this study we developed a bio-economic model of forecast use, explicitly incorporating forecast uncertainty. Using agricultural systems (ag-systems) production simulation software calibrated with case study information, we simulated pasture growth, herd dynamics and annual economic returns under different climatic conditions. We then emplo

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Dominguez-Jimenez, Juan A., Javier E. Campillo, Oscar Danilo Montoya, Enrique Delahoz, and Jesus C. Hernández. "Seasonality Effect Analysis and Recognition of Charging Behaviors of Electric Vehicles: A Data Science Approach." Sustainability 12, no. 18 (2020): 7769. http://dx.doi.org/10.3390/su12187769.

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Electric vehicles (EVs) presence in the power grid can bring about pivotal concerns regarding their energy requirements. EVs charging behaviors can be affected by several aspects including socio-economics, psychological, seasonal among others. This work proposes a case study to analyze seasonal effects on charging patterns, using a public real-world based dataset that contains information from the aggregated load of the total charging stations of Boulder, Colorado. Our approach targets to forecast and recognize EVs demand considering seasonal factors. Principal component analysis (PCA) was use

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Giuliani, Matteo, Louise Crochemore, Ilias Pechlivanidis, and Andrea Castelletti. "From skill to value: isolating the influence of end user behavior on seasonal forecast assessment." Hydrology and Earth System Sciences 24, no. 12 (2020): 5891–902. http://dx.doi.org/10.5194/hess-24-5891-2020.

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Abstract. Recent improvements in initialization procedures and representation of large-scale hydrometeorological processes have contributed to advancing the accuracy of hydroclimatic forecasts, which are progressively more skillful over seasonal and longer timescales. These forecasts are potentially valuable for informing strategic multisector decisions, including irrigated agriculture, for which they can improve crop choices and irrigation scheduling. In this operational context, the accuracy associated with the forecast system setup does not necessarily yield proportional marginal benefit, a

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Ersa Meilinda, Rosiliyah, and Ario Purdianto. "The Impact of Rate Changes: A Comparative Study on Food and Beverage Companies." Indonesian Journal of Business Analytics 5, no. 3 (2025): 2303–12. https://doi.org/10.55927/ijba.v5i3.14634.

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The purpose of this study was to determine the differences in sales, operating costs, and net income before and after the 11% income tax rate increase. The population in this study were non-cylical consumer companies with a research sample of 24 food and beverage sub-sector companies eliminated by several criteria. The research method used is descriptive and comparative statistics with normality tests, assumption tests, and different tests, researchers use the help of SPSS software version 22. The results showed that there were differences in sales because the increase in VAT had an impact on

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Panggabean, Ganesha, and Dedi Wibowo. "COST STRUCTURE EVALUATION IN FORM OF VARIABLE COST AND FINANCIAL FORECASTING IN SMALL-TO-MEDIUM ENTERPRISE TRIJAYA BAN 83'S SPOORING SERVICE." Journal of Economics and Business 2, no. 2 (2018): 82–95. http://dx.doi.org/10.25170/jebi.v2i2.33.

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This research discusses the process of business coaching in tire selling and car repair workshop, namely Trijaya Ban 83. Business coaching is a training process by coach to coachee in the problems that exist in the SMEs as well as providing solutions and applicable suggestions to existing problems at the SMEs. The objective of this research is to formulate an efficient cost structure on Trijaya Ban 83�s spooring services and to make financial forecast when applying the cost structure. Based on this coaching business process, the variable costs accumulated in the form of incentives in the mecha

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Mohamad, H. H., A. H. Ibrahim, and H. H. Massoud. "Modelling the financial performance of construction companies using neural network via genetic algorithm." Canadian Journal of Civil Engineering 41, no. 11 (2014): 945–54. http://dx.doi.org/10.1139/cjce-2014-0065.

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Net profit, annual work volume, and working capital can be considered as the main financial performance indicators for any construction company. Sufficient liquidity must be properly assessed to ensure the survival of the business in both short-term and long-term bases. Large amount of working capital simply means idle funds in a form of current assets that does not gain any profit for the company. On other hand, small amount of working capital means that the company is unable to meet its liabilities and it faces complexity to participate in new project tenders, as a consequence its annual wor

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Dr. Abhisek Yadav. "GENERAL INSURANCE BUSINESS TRENDS (PRE-LIBERALIZATION PERIOD)." Knowledgeable Research: A Multidisciplinary Journal 1, no. 11 (2023): 42–48. http://dx.doi.org/10.57067/kr.v1i11.121.

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The policy frame reveals that the General Insurance Corporation (GIC) in India during the pre-reform period was well-directed to achieve national planning and development objectives. Analyzing the performance of the GIC, including the progress of four subsidiaries, is essential to highlight achievements and business trends between 1973 and 1999-2000. The analysis should focus on trends in paid-up capital, gross premium, net premium, underwriting profits, net profit, and investment income. In general insurance contracts, insurers indemnify the insured for losses caused by specified risks, charg

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Ranjithkumar, Dr S., and M. M. Aneesh. "Study on Multidimensionsal Aspects of Profitability: Evidence from Larsen & Toubro Ltd." Webology 18, Special Issue 03 (2021): 339–48. http://dx.doi.org/10.14704/web/v18si03/web18044.

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The term profitability represents to the ability of an organization to obtain sufficient profit. Profitability is connected to the efficiency of an organization to maximize the profit and wealth at reasonable rate. It is relative measure of the success of the organization in terms of the effective utilization of resources. Scientific study of current trade provides a platform to forecast the possible future trends of the profitability strategic managerial decisions like expansion of the business, rising of additional finance, issue related to bonus and dividend directly connected with profit.

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Tarandushka, Ludmyla, Nataliia Kostian, Ivan Tarandushka, Stepan Kurko, Eduard Klimov, and Maksym Melnychenko. "Method of Determining and Locating the Optimal Number of Charging Stations for Electric Transportation in Settlement." Central Ukrainian Scientific Bulletin. Technical Sciences 2, no. 6(37) (2022): 57–67. http://dx.doi.org/10.32515/2664-262x.2022.6(37).2.57-67.

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The problem of determining the optimal number and location of charging stations for electric transport within the settlement is being studied. To solve this problem, the criteria, factors and limitations of the optimal placement of charging stations were defined. Since the task included ensuring the comfortable operation of electric cars by citizens until 2025, it was necessary to forecast the number of electric cars that will be registered in the town of Cherkasy. For this, a portrait of the potential consumer was drawn up, and the potential capacity of the transport market was determined. Al

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Pistunov, Ihor, and Mykhailo Demydenko. "Justification of a medical oxygen production start-up." Economic Analysis, no. 32(3) (2022): 86–93. http://dx.doi.org/10.35774/econa2022.03.086.

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Introduction. The increase in demand for medical oxygen is causing the interest of entrepreneurs in investing in the development of this field of activity. There is a sufficient number of factories producing technical oxygen in Ukraine. Goal. Determine the list of necessary equipment for the production of medical oxygen and justify the possibility of creating a startup. Method (methodology). The efficiency of the start-up was determined by the method of calculating the net profit brought to the beginning. For this purpose, such data as: inflation and the market value of one cylinder with medic

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Antarasee, Phiraphat, Suttichai Premrudeepreechacharn, Apirat Siritaratiwat, and Sirote Khunkitti. "Optimal Design of Electric Vehicle Fast-Charging Station’s Structure Using Metaheuristic Algorithms." Sustainability 15, no. 1 (2022): 771. http://dx.doi.org/10.3390/su15010771.

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The fast development of electric vehicles (EVs) has resulted in several topics of research in this area, such as the development of a charging pricing strategy, charging control, location of the charging station, and the structure within the charging station. This paper proposes the optimal design of the structure of an EV fast-charging station (EVFCS) connected with a renewable energy source and battery energy storage systems (BESS) by using metaheuristic algorithms. The optimal design of this structure aims to find the number and power of chargers. Moreover, the renewable energy source and B

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Darii, Nicolae, Roberto Turri, Keith Sunderland, and Fabio Bignucolo. "A Novel Unidirectional Smart Charging Management Algorithm for Electric Buses." Electronics 12, no. 4 (2023): 852. http://dx.doi.org/10.3390/electronics12040852.

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The difficulty of controlling the charging of electric buses (EBs) and their effects on network demand are discussed in this study. The solutions suggest a call for worldwide, complex infrastructures that manage EVs and EBs equally. Additionally, the Distribution Network (DN) must be prepared for an increased prevalence of reverse power flow caused by widespread distributed renewable generation. This paper focuses exclusively on EBs since they have higher capacity and predictable charging patterns, which makes them more significant for the DN in the context of a transition to complete vehicle

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Castro, José F. C., Augusto C. Venerando, Pedro A. C. Rosas, et al. "Operation Model Based on Artificial Neural Network and Economic Feasibility Assessment of an EV Fast Charging Hub." Energies 17, no. 13 (2024): 3354. http://dx.doi.org/10.3390/en17133354.

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The energy transition towards a low-emission matrix has motivated efforts to reduce the use of fossil fuels in the transportation sector. The growth of the electric mobility market has been consistent in recent years. In Brazil, there has been an accelerated growth in the sales rate of new electric (and hybrid) vehicles (EVs). Fiscal incentives provided by governments, along with the reduction in vehicle costs, are factors contributing to the exponential growth of the EV fleet—creating a favorable environment for the dissemination of new technologies and enabling the participation of players f

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Ying, Zhao. "Analysis of the Impact of China’s Novel Coronavirus Pneumonia on Chinese Enterprises’ Performance." Journal of Finance Research 4, no. 2 (2020): 135. http://dx.doi.org/10.26549/jfr.v4i2.3758.

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The outbreak of novel coronavirus pneumonia has affected almost all industries and enterprises. This paper analyzes the impact of the epidemic on the macro economy through GDP and other indicators, analyzes the impact of the epidemic on the overall business performance of the enterprises through the asset turnover speed index of the above scale industrial enterprises, and analyzes the impact of the epidemic on the net profit of the listed companies through the first quarter performance forecast of the listed companies. At last, the paper puts forward that enterprises should improve their aware

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P. Bauman, Mark. "Forecasting operating profitability with DuPont analysis." Review of Accounting and Finance 13, no. 2 (2014): 191–205. http://dx.doi.org/10.1108/raf-11-2012-0115.

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Purpose – The purpose of this study is to re-examine the relation between changes in profit margin (ΔPM) and changes in return on net operating assets (ΔRNOA) by partitioning on the direction of the change in PM. DuPont analysis provides a means of disaggregating a firm’s return on net operating assets (RNOA) into asset turnover (ATO) and profit margin (PM) components to gain insights into the underlying drivers of operating profitability. Prior research finds that changes in ATO are informative about one-year-ahead changes in RNOA, while changes in PM are not. Design/methodology/approach – Co

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Smolina, V. S., and T. G. Volkova. "COMPARATIVE ANALYSIS OF METHODS FOR FORECASTING FINANCIAL RESULTS OF AN ENTERPRISE USING THE EXAMPLE OF AN AGRO-INDUSTRIAL HOLDING." Social’no-ekonomiceskoe upravlenie: teoria i praktika 19, no. 4 (2023): 41–47. http://dx.doi.org/10.22213/2618-9763-2023-4-41-47.

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The article is devoted to a theoretical analysis of approaches to forecasting the financial results of a company, since high-quality financial forecasting allows for the growth of companies and their financial results. To improve the quality of the forecast, various methods for forecasting the main financial indicators, on which the final result of the company depends, were analyzed. It is noted that for the growth of a company and strengthening its position in the market, it is important to provide reliable and accurate forecasts of profit and return on sales. The authors come to the conclusi

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Parmacli, Dmitrii. "Forecasting financial and economic indicators activities of enterprises using charts." Vector European, no. 2 (November 2023): 120–25. http://dx.doi.org/10.52507/2345-1106.2023-2.24.

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It is emphasized that the forecasting of financial and economic performance of enterprises has its own characteristics, due to the fact that income from product sales, gross and net profits, as a rule, are unstable. This is especially true for agricultural organizations and processing enterprises. ATU Gagauzia is located in the epicenter of the zone of risky (unsustainable) agriculture. The methodology for forecasting the financial and economic performance of enterprises requires clarification and, if possible, the use of uniform approaches available for use in practice, both for educational p

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Lavrenova, Yelyzaveta R., and Serhii P. Denysiuk. "Optimization of power dispatching schedule of a charging station based on a micro grid with a photovoltaic module." Applied Aspects of Information Technology 6, no. 4 (2023): 391–403. http://dx.doi.org/10.15276/aait.06.2023.26.

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The world is on a course toward total electrification of vehicles. In the near future, most vehicles will run on electric power. One of the main reasons for users' dissatisfaction with electric vehicles is the lack of public direct current charging stations. Since electric vehicles charging can cause an additional increase in peak load on the grid, the optimal solution is direct current charging stations with photovoltaic generation with a micro grid architecture. If the charging station has a connection to the public grid, then, provided that the solar energy and storage system are optimally

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Aman, Qaiser, and Sultan Altass. "Pre-and Post-COVID-19 condition, performance and future of the airline industry: Evidence from accounting data." Revista Amazonia Investiga 10, no. 37 (2021): 9–23. http://dx.doi.org/10.34069/ai/2021.37.01.1.

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The main purpose of this study was to analyze the pre-and post-COVID-19 condition, performance and future of the airline industry. To get the desired objective of the study current research study used the accounting information of airline industry. For the said purpose cross tabulation, frequencies, means techniques were used to draw the conclusion. To predict the future and revival of the industry study calculated the means before and after COVID-19 performance and forecast the recovery period of the industry. The accounting results showed that the condition and performance of the airline ind

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Karapidakis, Emmanuel, Marios Nikologiannis, Marini Markaki, Georgios Kouzoukas, and Sofia Yfanti. "Enhancing Renewable Energy Integration and Implementing EV Charging Stations for Sustainable Electricity in Crete’s Supermarket Chain." Energies 18, no. 3 (2025): 754. https://doi.org/10.3390/en18030754.

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In current times, sustainability is paramount, and businesses are increasingly adopting renewable energy sources (RESs) and electric vehicle (EV) charging infrastructure to minimise their environmental impact and operational costs. Such a transition can prove challenging to multi-location businesses since each chain store functions under different constraints; therefore, the implementation of a corporate policy requires adaptations. The increased electricity demand associated with EV charging stations and their installation cost could prove to be a significant financial burden. Therefore, this

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Angba, C. W., R. N. Baines, and A. J. Butler. "Exploring the Effects of Climate Change on Net Revenue of Farmers: An Econometric Investigation Using Farm-Level Data in Cross River State, Nigeria." Journal of Sustainable Development 13, no. 3 (2020): 1. http://dx.doi.org/10.5539/jsd.v13n3p1.

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This paper addressed the effects of climate on the net revenue of farmers in Cross River State. The specific objectives of this paper are; to examine the level of yam production in Cross River State and, to determine the factors that affect farmers&#39; net revenue. Data was collected from 209 farmers using a well-structured questionnaire. The analysis was done using the independent sample t-test, the Chi-square test and Ordinary Least Square (OLS) regression. The findings revealed that the mean value of the respondents on the level of profit was N88,192.13, while the maximum and minimum a

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Sharonov, Nikita I., Olga V. Mustafina, Yuri V. Sharapov, and Natalya V. Sharapova. "APPLICATION OF THE ADAPTED SHARPE RATIO IN THE EXPRESS ANALYSIS OF THE FINANCIAL STATEMENTS OF THE ENTERPRISE." Ekonomika i upravlenie: problemy, resheniya 6/8, no. 159 (2025): 157–64. https://doi.org/10.36871/ek.up.p.r.2025.06.08.017.

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The presented article proposes to adapt the classical Sharpe ratio, widely used in investment analysis, to the tasks of express analysis of the accounting (financial) statements of the enterprise. The rationale and formulas for the adapted indicator reflecting the economic meaning of the risk-oriented assessment of the company’s performance are provided. An express analysis of the financial results of a specific enterprise for three years was carried out using the proposed indicator, a short-term forecast of key financial indicators was made and, based on the Sharpe ratio for the next year, a

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Cheng, Yinuo. "Investment Opportunity in Online Survey Industry under COVID-19." E3S Web of Conferences 218 (2020): 01023. http://dx.doi.org/10.1051/e3sconf/202021801023.

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The COVID-19 outbreak left the world an island shrouded in repression, causing great losses to the world economy and blowing numerous investors in the financial market. However, at the same time, emerging online industries also bring them new investment opportunities. This article would analyze the operation condition and forecast the growth potential of three enterprises, Zoom Video Inc., Shanghai Yaoji Technology Co., Ltd, and 51Talk, which specialize in Online Entertainment, Online Education, and Office Online. Through analyzing operating profit growth rate and net profit growth rate of Zoo

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Soliman, Mark T. "The Use of DuPont Analysis by Market Participants." Accounting Review 83, no. 3 (2008): 823–53. http://dx.doi.org/10.2308/accr.2008.83.3.823.

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DuPont analysis, a common form of financial statement analysis, decomposes return on net operating assets into two multiplicative components: profit margin and asset turnover. These two accounting ratios measure different constructs and, accordingly, have different properties. Prior research has found that a change in asset turnover is positively related to future changes in earnings. This paper comprehensively explores the DuPont components and contributes to the literature along three dimensions. First, the paper contributes to the financial statement analysis literature and finds that the i

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Steffen, Thomas, Ashley Fly, and William Mitchell. "Optimal Electric Vehicle Charging Considering the Effects of a Financial Incentive on Battery Ageing." Energies 13, no. 18 (2020): 4742. http://dx.doi.org/10.3390/en13184742.

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As the market share of electric vehicles increases, the intermittent load on the electricity grid due to charging will increase. This can be counteracted by Vehicle-to-Grid (V2G) which utilises dormant electric vehicles to feed power into the grid, generating income for the vehicle owner while relieving load across the grid. However, increased battery use through V2G can negatively affect battery health. In this work, a computational model of an electric vehicle with battery degradation is used to investigate the relationship of these effects. The analysis was conducted at the top level of det

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Chandragiri, Radha Charan, and Tejaswini Palla. "Design of Net Energy Metering System for a Hybrid Energy Storage System." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 3003–5. https://doi.org/10.35940/ijeat.C5787.029320.

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The expectation for everyday comforts and success of a country fluctuate legitimately with the expansion in the utilization of intensity. The power necessity of the world is expanding at a disturbing rate because of mechanical development, expanded and broad utilization of electrical device. As per world vitality report, around 80% of our vitality is received from regular non-renewable energy sources like oil, gaseous petrol and coal . It is evident from the current scenario that world will have to face the shortage of resources within no time. Hence, it is a call for an alternative vitality s

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Banikhalid, H., and S. Al-oshaibat. "Using the Financial Analysis Approach to Forecast Industrial Production: A Guide from Jordan." International Journal of Business and Management 16, no. 5 (2021): 91. http://dx.doi.org/10.5539/ijbm.v16n5p91.

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This study aims to derive the function that can be used to predict the growth rate in the added value of industrial production in Jordan, depending on the financial ratios of industrial companies listed on the Amman Stock Exchange. To achieve the objectives of the study, the descriptive and analytical approach and multiple regression analysis were used using the SPSS program. The study population was represented by the public joint-stock companies listed on the Amman Stock Exchange in the industrial sector from 1994 to 2018. Results show that the financial ratios influencing the growth rate in

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Zhang, Shiyu. "Microsoft Accounting Analysis Based on Profit Analysis and Market Value Prediction." Highlights in Business, Economics and Management 23 (December 29, 2023): 1021–27. http://dx.doi.org/10.54097/f8dr4063.

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Microsoft is a world-renowned technology company with a range of business scopes including operating systems, productivity suites, cloud services, and search engines. Based on its position in the world, the analysis of Microsoft's financial situation has a certain guiding significance. First, it analyzes Microsoft's income statement from 2020 to the second quarter of 2023, using different growth assumptions, and calculates and compares Microsoft's Net income attributed to shareholders through two aspects: linear relationship, and index relationship. Then, using EXCEL and SPSS, an earnings fore

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