Relevant bibliographies by topics / Forecast net profit and Charging

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Forecast net profit and Charging'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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

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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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Dissertations / Theses on the topic "Forecast net profit and Charging"

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Фесенко, Є. І., Надія Володимирівна Тиркусова, Надежда Владимировна Тыркусова та Nadiia Volodymyrivna Tyrkusova. "Побудова та дослідження моделей для прогнозування рентабельності підприємства за економічними показниками". Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/9827.

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Математичне моделювання дозволяє строїти та досліджувати моделі реальних економічних процесів, що дає можливість аналізувати вплив факторів, а також достатньо точно прогнозувати економічні процеси на певні проміжки часу [1]. Для підприємства «Орізон», що займається заготівлею та переробкою деревини, на основі даних за 2004-2010 р.р. були побудовані та досліджені моделі для прогнозування рентабельності підприємства. При цитуванні документа, використовуйте посилання http://essuir.sumdu.edu.ua/handle/123456789/9827
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Колосок, Світлана Іванівна, Светлана Ивановна Колосок, Svitlana Ivanivna Kolosok та Є. Е. Коротовських. "Дослідження ефективності методів прогнозування прибутку підприємства". Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/31158.

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В умовах ринкової економіки одержання позитивного фінансового результату є безпосередньою метою будь-якого комерційного підприємства. Позитивним фінансовим результатом є прибуток. Прибуток відображає результати підприємницької діяльності, ефективність виробництва, обсяг та якість продукції. Також прибуток виконує стимулюючу функцію тому, що він впливає на формування доходів підприємства та є джерелом фінансування його розвитку. При цитуванні документа, використовуйте посилання http://essuir.sumdu.edu.ua/handle/123456789/31158
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Book chapters on the topic "Forecast net profit and Charging"

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Lapkhanov, Erik, and Dmytro Kabachenko. "PECULIARITIES OF THE NET PRESENT VALUE AND PROFIT INDEX CALCULATIONS USING CONTINIOUS FUNCTIONS AND DIFFERENTIAL EQUATIONS MODELS." In Traditional and innovative approaches in economics: theory, methodology, practice. Publishing House “Baltija Publishing”, 2024. http://dx.doi.org/10.30525/978-9934-26-407-8-25.

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Estimation of the investment business projects efficiency is a key stage in business planning. Considering this, there is a problem of ensuring the forecast accuracy of business project implementation from the start to a certain time when profitability reaches the expected value. Given the stochastic nature of the discount index components in the modern economic environment, one of the approaches for improving their forecast accuracy at a certain time interval is to use continuous functions. In turn, mathematical models that use such functions are developed on the basis of differential equatio
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Demirel, Engin, and Sibel Yilmaz Turkmen. "Currency and Interest Rate Effect on Financial Ratios." In Operations and Service Management. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3909-4.ch064.

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The purpose of this study is to analyze the effects of currency and interest rates on selected financial ratios of technology firms. In a developing country, as an economic indicator, currency and interest rates have crucial impact on technology firms' financial statements. The authors selected financial ratios from seven technology companies that were included in the technology index on Istanbul Stock Exchange (ISE) between the years 2001 and 2010. Findings suggest that Dollar and Euro-Turkish Lira currency affect the current ratio, Euro-Turkish Lira currency only affects the acid-test ratios
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Demirel, Engin, and Sibel Yilmaz Turkmen. "Currency and Interest Rate Effect on Financial Ratios." In Global Strategies in Banking and Finance. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4635-3.ch026.

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The purpose of this study is to analyze the effects of currency and interest rates on selected financial ratios of technology firms. In a developing country, as an economic indicator, currency and interest rates have crucial impact on technology firms’ financial statements. The authors selected financial ratios from seven technology companies that were included in the technology index on Istanbul Stock Exchange (ISE) between the years 2001 and 2010. Findings suggest that Dollar and Euro-Turkish Lira currency affect the current ratio, Euro-Turkish Lira currency only affects the acid-test ratios
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Conference papers on the topic "Forecast net profit and Charging"

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Cai, Sinan, Masahiro Mae, Ryuji Matsuhashi, Tatsuya Masuda, Naoto Ishibashi, and Shogo Ikekawa. "Profit-Oriented Criterion of Electricity Price Forecast Considering Charging Duration of Demand-Side Responses." In 2025 21st International Conference on the European Energy Market (EEM). IEEE, 2025. https://doi.org/10.1109/eem64765.2025.11050123.

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Xue, Pingwen, and Yuan Lei. "Net Profit Forecast Based on Improved Support Vector Machine." In 2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA). IEEE, 2021. http://dx.doi.org/10.1109/icaica52286.2021.9497965.

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Bai, Lirui, Tong Li, Xinjun Wu, and Zhongwen Xie. "Charging Model Research of Infrastructure Layer in Cloud Computing Based on Cost-Profit Petri Net." In 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE, 2011. http://dx.doi.org/10.1109/cyberc.2011.77.

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Bemindu, J., and S. Sharic. "Digitalized platform to better utilize empty space of return runs of truck." In Engineering Research Unit Symposium 2023. Engineering Research Unit, 2023. http://dx.doi.org/10.31705/eru.2023.10.

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Sri Lanka depends heavily on road for freight transportation where around 97% of domestic freight is transported by roads using trucks [1]. It was further related that half of the above trucks returning empty [1]. Such empty truck return runs go unnoticed in Sri Lanka. In other developed countries, digitalization such as digital tracking and tracing is used to minimize empty return runs of trucks by making them noticed by the parties in the supply chain. No such digital tracking and tracing is available in Sri Lanka to provide real time information on the truck operations. Therefore, the empty
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Rodriguez Castelblanco, A. X., E. Gildin, S. A. Cabrales, and A. L. Medaglia. "A Novel Decision-Making Framework for Waterflooding Optimization using Long and Short-Term Memory Models and Metaheuristics." In SPE Latin American and Caribbean Petroleum Engineering Conference. SPE, 2023. http://dx.doi.org/10.2118/213154-ms.

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Abstract Meeting future energy demands in the low-carbon emissions paradigm requires improved decision-making processes. Waterflooding plays a vital role in obtaining increased oil recovery factors and minimizing undesirable water production. However, waterflooding optimization involves costly well control management optimization methods especially when numerical simulation is used. Alternatives such as data-driven proxy modeling can overcome the computation complexity drawbacks. In this paper, we develop a decision-making waterflooding framework, where an optimization component has embedded f
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Reports on the topic "Forecast net profit and Charging"

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Bonilla-González, Ricardo, Olga Lucía Acosta-Navarro, Roberto Steiner-Sampedro, et al. Report of the Board of Directors to the Congress of Colombia, March 2024. Banco de la República, 2024. http://dx.doi.org/10.32468/inf-jun-dir-con-rep-eng.03-2024.

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In 2023, the Colombian economy made progress in the macroeconomic adjustment required to achieve growth compatible with its productive capacity and external and price stability. This adjustment was reflected in the beginning of the convergence of inflation towards the target, which closed the year at 9.3%. This adjustment is an important step forward in the Board of Directors’ (BDBR) intention to drive inflation toward its target by mid-2025. Net foreign reserves increased and at the end of 2023 reached USD 59,608.3 million, and Banco de la República’s (the Central Bank of Colombia, Banrep) pr
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