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Journal articles on the topic 'Electricity Demands'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Phonin, Sirilak, Radom Pongvuthithum, Chatchawan Chaichana, and Chulin Likasiri. "Sustainable management of energy supplies for Thailand’s power generation." Journal of Infrastructure, Policy and Development 8, no. 6 (2024): 3164. http://dx.doi.org/10.24294/jipd.v8i6.3164.

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We analyze Thailand’s projected 2023–2030 energy needs for power generation using a constructed linear programming model and scenario analysis in an attempt to find a formulation for sustainable electricity management. The objective function is modeled to minimize management costs; model constraints include the electricity production capacity of each energy source, imports of electricity and energy sources, storage choices, and customer demand. Future electricity demands are projected based on the trend most closely related to historical data. CO2 emissions from electricity generation are also

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2

Al Bannay, Shayma, and Satoshi Takizawa. "Decoupling of Water Production and Electricity Generation from GDP and Population in the Gulf Cooperation Council (GCC) Countries." Sustainability 14, no. 9 (2022): 5386. http://dx.doi.org/10.3390/su14095386.

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Although the Gulf Cooperation Council (GCC) countries are in an arid region with limited water resources, the per capita water and electricity consumptions are high, at 560 L/capita/day and 7000–18,000 kWh/year, respectively. Although macroscale parameters (e.g., GDP and population) have been assumed to be correlated with water and electricity demand, this study aims to verify whether this assumption still holds true. As opposed to the previous literature, this study reveals that, although water production and electricity generation had been correlated with GDP and population for years, they h

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3

Arci, Francesco, Jane Reilly, Pengfei Li, Kevin Curran, and Ammar Belatreche. "Forecasting Short-term Wholesale Prices on the Irish Single Electricity Market." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 4060. http://dx.doi.org/10.11591/ijece.v8i6.pp4060-4078.

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Electricity markets are different from other markets as electricity generation cannot be easily stored in substantial amounts and to avoid blackouts, the generation of electricity must be balanced with customer demand for it on a second-by-second basis. Customers tend to rely on electricity for day-to-day living and cannot replace it easily so when electricity prices increase, customer demand generally does not reduce significantly in the short-term. As electricity generation and customer demand must be matched perfectly second-by-second, and because generation cannot be stored to a considerab

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Arci, Francesco, Jane Reilly, Pengfei Li, Kevin Curran, and Ammar Belatreche. "Forecasting Short-term Wholesale Prices on the Irish Single Electricity Market." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 4060–78. https://doi.org/10.11591/ijece.v8i6.pp4060-4078.

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Electricity markets are different from other markets as electricity generation cannot be easily stored in substantial amounts and to avoid blackouts, the generation of electricity must be balanced with customer demand for it on a second-by-second basis. Customers tend to rely on electricity for day-to-day living and cannot replace it easily so when electricity prices increase, customer demand generally does not reduce significantly in the short-term. As electricity generation and customer demand must be matched perfectly second-by-second, and because generation cannot be stored to a considerab

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Sai Kothapalli, Sai Kothapalli. "Scaling Electricity Infrastructure for the Digital Age: Meeting the Demand of AI Datacenters, EVs, and the Digital Economy." Journal of Architecture and Civil Engineering 9, no. 11 (2024): 64–71. https://doi.org/10.35629/8193-09116471.

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The rapid growth of artificial intelligence, electric vehicles, and the broader digital economy has created unprecedented demands on the U.S. electrical grid. This paper analyzes the scale of these emerging electricity demands, identifies current infrastructure bottlenecks, and proposes a comprehensive framework for scaling electricity production and distribution systems to meet these challenges. Through quantitative analysis of projected demand growth, and assessment of generation technologies, This paper presents actionable pathways to ensure reliable, sustainable, and cost-effective electri

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Osisanwo, Bukonla, Adeyemi Babasanya, Jimoh Ogede, and Adedamola Siyanbola. "Effects of Electricity Demand on Economic Growth in Nigeria." NIU Journal of Social Sciences 9, no. 4 (2023): 7–14. http://dx.doi.org/10.58709/niujss.v9i4.1752.

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The study examined the effects of electricity demand on economic growth over a period of year 2000 to 2022. The objective is to examine the extent to which electricity demand has positively impacted the economic growth. The study utilized the covariance, multi-regression error correction model and Durbin-watson test. The study concluded that there is positive impact of electricity demand on economic growth in Nigeria. The results also show long and short run positive and significant correlation between electricity demand and real gross domestic production, electricity access and RGDP, electric

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7

Deering, S., M. Newborough, and S. D. Probert. "Rescheduling electricity demands in domestic buildings." Applied Energy 44, no. 1 (1993): 1–62. http://dx.doi.org/10.1016/0306-2619(93)90044-p.

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8

Levin, Nissan, and Jacob Zahavi. "Electricity equilibrium models with stochastic demands." Energy Economics 9, no. 4 (1987): 227–40. http://dx.doi.org/10.1016/0140-9883(87)90030-2.

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9

Carraro, Gianluca, Enrico Dal Cin, and Sergio Rech. "Integrating Energy Generation and Demand in the Design and Operation Optimization of Energy Communities." Energies 17, no. 24 (2024): 6358. https://doi.org/10.3390/en17246358.

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The optimization of the energy system serving users’ aggregations at urban level, such as Energy Communities, is commonly addressed by optimizing separately the set of energy conversion and storage systems from the scheduling of energy demand. Conversely, this paper proposes an integrated approach to include the demand side in the design and operation optimization of the energy system of an Energy Community. The goal is to evaluate the economic, energetic, and environmental benefits when users with different demands are aggregated, and different degrees of flexibility of their electricity dema

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10

C. O.*, Amosu. "Meeting Energy Demands Through Mining." Indian Journal of Data Mining 1, no. 2 (2021): 1–13. http://dx.doi.org/10.35940/ijdm.a1608.111221.

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The Mineral and Mining industry is a huge energy requiring sector which demands connections to a viable electric power origin and reference. With the upsurge of these mineral requests and decreasing valued grades of ores, energy aspiration is approximated to sky-rocket to 36% by the year 2035. It is even projected to accelerate geometrically from the fact that sophistication and powering of the mine locations speeds up the stability into the necessity of energy applications and its requirements derived from fossil fuels utilized to generate electricity. This paper discusses other fossilized fu

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C. O., Amosu. "Meeting Energy Demands Through Mining." Indian Journal of Data Mining 1, no. 2 (2021): 1–13. http://dx.doi.org/10.54105/ijdm.a1608.111221.

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The Mineral and Mining industry is a huge energy requiring sector which demands connections to a viable electric power origin and reference. With the upsurge of these mineral requests and decreasing valued grades of ores, energy aspiration is approximated to sky-rocket to 36% by the year 2035. It is even projected to accelerate geometrically from the fact that sophistication and powering of the mine locations speeds up the stability into the necessity of energy applications and its requirements derived from fossil fuels utilized to generate electricity. This paper discusses other fossilized fu

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Amosu, C. O. "Meeting Energy Demands Through Mining." Indian Journal of Data Mining (IJDM) 1, no. 2 (2021): 1–13. https://doi.org/10.54105/ijdm.A1608.111221.

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The Mineral and Mining industry is a huge energy requiring sector which demands connections to a viable electric power origin and reference. With the upsurge of these mineral requests and decreasing valued grades of ores, energy aspiration is approximated to sky-rocket to 36% by the year 2035. It is even projected to accelerate geometrically from the fact that sophistication and powering of the mine locations speeds up the stability into the necessity of energy applications and its requirements derived from fossil fuels utilized to generate electricity. This paper discusses other fossilized fu

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13

Kesnar, Chris, Verena Weiler, Julia Neuhäuser, and Bastian Schröter. "Integrated analysis of regional energetic demand and renewable energy potentials at the example of Ludwigsburg county, Germany." Journal of Physics: Conference Series 2042, no. 1 (2021): 012059. http://dx.doi.org/10.1088/1742-6596/2042/1/012059.

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Abstract This work compares heating and electricity demands with local renewable energy potentials at the example of Ludwigsburg county, a mostly suburban region in South-Western Germany. Bottom-up analyses of the energetic potentials are performed within an established regional energy simulation platform and are thus based on a consistent set of geoinformatic data. This approach has two advantages compared to a top-down analysis or using multiple specialized tools: it allows assessing energetic potentials in high spatial resolution and relates it to heating and electricity demands on a single

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Rembeza, Jerzy, and Grzegorz Przekota. "Influence of the Industry’s Output on Electricity Prices: Comparison of the Nord Pool and HUPX Markets." Energies 15, no. 16 (2022): 6044. http://dx.doi.org/10.3390/en15166044.

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Electricity markets are characterised by high sensitivity to variations in supply and demand conditions. However, they also exhibit a number of specific characteristics, including large daily, weekly, and seasonal price fluctuations. The aim of this article is to assess the impact of fluctuations in the industry’s output on wholesale electricity prices. Results were compared for the Nord Pool markets, with a high share of renewable energy supply, and the HUPX markets, where fossil fuel and/or nuclear energy supply dominates. The results obtained generally indicate the positive impact of change

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15

Devine, K. "Gas in Electricity Generation." Energy Exploration & Exploitation 13, no. 2-3 (1995): 149–57. http://dx.doi.org/10.1177/0144598795013002-305.

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Gas is New Zealand's major thermal fuel for electricity generation. This paper describes what influences the volumes of gas burnt by ECNZ, and forecasts future gas demands for electricity generation. It also reviews the uncertainties associated with these forecasts and likely competition in building new electricity generating stations and outlines the strategy now being formulated to accommodate them. Because ECNZ's generation system is hydro-based, relatively small rapid changes in hydrological conditions can significantly affect the amount of gas used. This situation will change over time wi

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Ardizio, Salvatore, Fabrizio Ascione, Nicola Bianco, Gerardo Maria Mauro, and Davide Ferdinando Napolitano. "Energy Analysis of a Real Industrial Building: Model Development, Calibration via Genetic Algorithm and Monitored Data, Optimization of Photovoltaic Integration." Journal of Construction Research 1, no. 1 (2019): 30. http://dx.doi.org/10.30564/jcr.v1i1.830.

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This study performs the energy analysis of a real industrial building, located near Naples (South Italy). The used approach includes three phases: development of the energy model, model calibration based on monitored data and optimization of photovoltaic (PV) integration. Monitored data provide the monthly overall electricity demands of the facility for different years, while the load factors of industrial devices are not available. Thus, the assessment of hourly and daily trends of electricity demands and internal heat loads is not possible from monitored data. In order to solve such issue, t

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17

Xue, Zhao. "Estimating the Price Elasticity of Natural Gas and Electricity in Pacific Northwest." SHS Web of Conferences 163 (2023): 01021. http://dx.doi.org/10.1051/shsconf/202316301021.

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This paper estimates the price elasticity of electricity and natural gas in the Pacific Northwest. Electricity and natural gas are substitutes; and demands of different classes of consumers for the energy are price-inelasticity. The results are when the price of retail electricity and natural gas changes, consumers would choose the cheaper one to make up for the increased cost of another energy price. Consumers’ demand for energy is mainly stable, they won’t affect a lot by the change in energy prices.

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18

Sekantsi, Lira P., and Sayed Timuno. "Electricity Consumption in Botswana:the Role of Financial Development, Industrialisation and Urbanization." Review of Economic and Business Studies 10, no. 1 (2017): 75–102. http://dx.doi.org/10.1515/rebs-2017-0049.

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Abstract Botswana’s electricity supply is overwhelmed by the growing energy demands with the peak electric power deficits being met through imports. This study seeks to understand the key drivers of this increasing electricity demand. Using the Autoregressive Distributed Lag (ARDL) bounds testing and Error Correction Model (ECM), it examines the role played by financial development, industrialisation and urbanization in Botswana’s energy (or more specifically electricity)-growth nexus between 1981 and 2011. The findings reveal that economic growth, financial development and industrialization p

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Võ, Viết Cường, Phuong Hoang Nguyen, Luan Le Duy Nguyen, and Van-Hung Pham. "Econometric Model for Forecasting Electricity Demand of Industry and Construction Sectors in Vietnam to 2030." Science & Technology Development Journal - Engineering and Technology 3, no. 1 (2020): First. http://dx.doi.org/10.32508/stdjet.v3i1.646.

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An accurate forecasting for long-term electricity demand makes a major role in the planning of the power system in any country. Vietnam is one of the most economically developing countries in the world, and its electricity demand has been increased dramatically high of about 15%/y for the last three decades. Contribution of industry and construction sectors in GDP has been increasing year by year, and are currently holding the leading position of largest consumers with more than 50% sharing in national electricity consumption proportion. How to estimate the electricity consumption of these sec

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Youden, Pema. "A Review on the Impact of Climate Change on Electricity Market." Zorig Melong | A Technical Journal of Science, Engineering and Technology 3, no. 1 (2017): 17–24. https://doi.org/10.17102/zmv3.i1.003.

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The impact of climate change on the electricity market presents future challenges in the organizational development of electrical energy applications. In a broader sense, it represents a new research field opportunity, enhancing the efficient planning and operation of renewable and non-renewable power plants. In the future, it could serve as a guideline in mitigating diverse impacts caused by catastrophic climate changes. This paper discusses the effect of climate change on electricity demand and supply scenarios. It has been pointed out in various reports, news, and awareness campaigns that h

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Alkhraijah, Mohannad, Maad Alowaifeer, Mansour Alsaleh, Anas Alfaris, and Daniel K. Molzahn. "The Effects of Social Distancing on Electricity Demand Considering Temperature Dependency." Energies 14, no. 2 (2021): 473. http://dx.doi.org/10.3390/en14020473.

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To mitigate the spread of the Novel Coronavirus (COVID-19), governments around the world have imposed social distancing policies ranging from minor social activity suspensions to full curfews. These social distancing policies have altered electricity consumption behaviors in numerous countries. Many governments imposed strict social distancing policies during a temperature transition season where the impacts of temperature variations are particularly important for the operation of the electric grid. This paper studies how strict social distancing policies affect the relationship between electr

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22

Sieed, Jubair. "Energy Demand Modelling for Developing Economies Using MAED-2 with Sectoral Decomposition: Bangladesh Case Study." Journal of Japan Society of Energy and Resources 41, no. 5 (2020): 149–54. https://doi.org/10.24778/jjser.41.5_149.

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Access to affordable, clean energy and its growing consumption have often been directly linked with socio-economic development. As one of the fastest developing countries, Bangladesh has been experiencing stable GDP growth with an increasing trend for the last ten years. This growth has initiated excessive demand for energy, especially in the electricity sector. Within just a decade, both the total electricity generation capacity and per capita electricity generation have almost doubled. In order to meet this growing demand and keep pace with the development trend, sectoral demand growth proje

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Maizana, Dina, Muhathir Muhathir, Habib Satria, Moranaim Mungkin, Muhammad Fadlan Siregar, and Yanawati Binti Yahya. "Optimization Of Solar Panel Usage In Grid-Connected Hybrid Energy Systems Using Fuzzy Method." Jurnal ELTIKOM 8, no. 2 (2024): 132–40. https://doi.org/10.31961/eltikom.v8i2.1278.

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The hybrid grid-connected power generation system combines solar power, wind power, and the PLN grid to meet the electricity demands of facilities such as schools, laboratories, mosques, and kindergartens at MTs Parmiyatu Wassa'adah School. Due to insufficient wind speed below the turbine's operational threshold, wind turbines cannot contribute to electricity generation, making solar power the primary energy source. Solar power capacity is crucial for meeting the electricity needs of these facilities. This study applies the Fuzzy method to analyze the optimal utilization of solar panels in a g

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Marwan, Marwan, and Pirman Pirman. "Mitigating Electricity a Price Spike under Pre-Cooling Method." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 3 (2016): 1281. http://dx.doi.org/10.11591/ijece.v6i3.9597.

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The growing demand for air-conditioning is one of the largest contributors to Australia overall electricity consumption. This has started to create peak load supply problems for some electricity utilities particularly in Queensland. This research aimed to develop a consumer demand side response model to assist electricity consumers to mitigate peak demand on the electrical network. The proposed model allows consumers to independently and proactively manage air conditioning peak electricity demand. The main contribution of this research is how to show consumers can mitigate peak demands by opti

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Marwan, Marwan, and Pirman Pirman. "Mitigating Electricity a Price Spike under Pre-Cooling Method." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 3 (2016): 1281. http://dx.doi.org/10.11591/ijece.v6i3.pp1281-1293.

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The growing demand for air-conditioning is one of the largest contributors to Australia overall electricity consumption. This has started to create peak load supply problems for some electricity utilities particularly in Queensland. This research aimed to develop a consumer demand side response model to assist electricity consumers to mitigate peak demand on the electrical network. The proposed model allows consumers to independently and proactively manage air conditioning peak electricity demand. The main contribution of this research is how to show consumers can mitigate peak demands by opti

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Chen, Qiqiong, and Yuanguo Zhu. "A spatial oligopolistic electricity model under uncertain demands." Soft Computing 24, no. 4 (2020): 2887–95. http://dx.doi.org/10.1007/s00500-019-04665-1.

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Gustafsson, Stig-Inge. "Climate influence on district heating and electricity demands." Applied Energy 42, no. 4 (1992): 313–20. http://dx.doi.org/10.1016/0306-2619(92)90019-8.

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Ismaila, Zubairu, Olugbenga A. Falode, Chukwuemeka J. Diji, et al. "A global overview of renewable energy strategies." AIMS Energy 10, no. 4 (2022): 718–75. http://dx.doi.org/10.3934/energy.2022034.

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<abstract> <p>Population expansion and increased industrialization are driving up global energy demand. Similarly, the most populous African country, Nigeria generates and transmits electricity far less than is required to meet her basic residential and industrial demands. Alternative means such as fossil fuel-powered generators to complement these demands are still not sufficient to meet these demands with notice to their limitation such as high lifecycle cost and carbon dioxide emission. Renewable energy resources are suitable substitutes for existing electricity sources to fulfi

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Mir, Aneeque A., Mohammed Alghassab, Kafait Ullah, Zafar A. Khan, Yuehong Lu, and Muhammad Imran. "A Review of Electricity Demand Forecasting in Low and Middle Income Countries: The Demand Determinants and Horizons." Sustainability 12, no. 15 (2020): 5931. http://dx.doi.org/10.3390/su12155931.

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With the globally increasing electricity demand, its related uncertainties are on the rise as well. Therefore, a deeper insight of load forecasting techniques for projecting future electricity demands becomes imperative for business entities and policy makers. The electricity demand is governed by a set of different variables or “electricity demand determinants”. These demand determinants depend on forecasting horizons (long term, medium term, and short term), the load aggregation level, climate, and socio-economic activities. In this paper, a review of different electricity demand forecasting

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Li, Jiayu, Bohong Zheng, Komi Bernard Bedra, Zhe Li, and Xiao Chen. "Evaluating the Effect of Window-to-Wall Ratios on Cooling-Energy Demand on a Typical Summer Day." International Journal of Environmental Research and Public Health 18, no. 16 (2021): 8411. http://dx.doi.org/10.3390/ijerph18168411.

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The window-to-wall ratio (WWR) significantly affects the indoor thermal environment, causing changes in buildings’ energy demands. This research couples the “Envi-met” model and the “TRNSYS” model to predict the impact of the window-to-wall ratio on indoor cooling energy demands in south Hunan. With the coupled model, “Envi-met + TRNSYS”, fixed meteorological parameters around the exterior walls are replaced by varied data provided by Envi-met. This makes TRNSYS predictions more accurate. Six window-to-wall ratios are considered in this research, and in each scenario, the electricity demand fo

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Melo, Filipi, Eduardo Pina, and Monica Carvalho. "Optimization and sensitivity analyses of a combined cooling, heat and power system for a residential building." Thermal Science, no. 00 (2020): 335. http://dx.doi.org/10.2298/tsci200718335m.

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In the quest for a better use of energy resources, energy integration and cogeneration strategies have been employed in the industrial and commercial sectors with considerable benefits realized. However, the residential sector remains underexplored. An optimization procedure should be carried out whenever there is a need to ensure or verify the economic viability of an energy system. This study uses Mixed Integer Linear Programming to optimize the energy supply to a residential building, with 20 floors and 40 apartments, located in the city of Jo?o Pessoa (Northeast Brazil). The equipment avai

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Kasikovic, O., N. Dobrnjac, M. Dobrnjac, and D. Golubovic. "Technical and ecological characteristics of utilizing the hydroelectric power potential of HPS “Gornja Drina” in Republic of Srpska." Journal of Physics: Conference Series 2540, no. 1 (2023): 012032. http://dx.doi.org/10.1088/1742-6596/2540/1/012032.

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Abstract Water has been extensively used as a renewable energy source. Many countries around the globe generally satisfy their demand for energy from precisely this energy source. In many countries of the world, the production of electricity is increasingly being created by hydropower capacities. Global demands for electricity are looking forward to being satisfied mostly from renewable energy sources, especially when it comes to hydropower. This paper presents the planned production of electricity in Republic of Srpska in 2022. The technical characteristics of HPS “Gornja Drina” are also cons

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Kang, Taehyung, Dae Yeong Lim, Hilal Tayara, and Kil To Chong. "Forecasting of Power Demands Using Deep Learning." Applied Sciences 10, no. 20 (2020): 7241. http://dx.doi.org/10.3390/app10207241.

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The forecasting of electricity demands is important for planning for power generator sector improvement and preparing for periodical operations. The prediction of future electricity demand is a challenging task due to the complexity of the available demand patterns. In this paper, we studied the performance of the basic deep learning models for electrical power forecasting such as the facility capacity, supply capacity, and power consumption. We designed different deep learning models such as convolution neural network (CNN), recurrent neural network (RNN), and a hybrid model that combines bot

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Wang, Shurui, Aifeng Song, and Yufeng Qian. "Predicting smart cities’ electricity demands using k-means clustering algorithm in smart grid." Computer Science and Information Systems, no. 00 (2023): 13. http://dx.doi.org/10.2298/csis220807013w.

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This work aims to perform the unified management of various departments engaged in smart city construction by big data, establish a synthetic data collection and sharing system, and provide fast and convenient big data services for smart applications in various fields. A new electricity demand prediction model based on back propagation neural network (BPNN) is proposed for China?s electricity industry according to the smart city?s big data characteristics. This model integrates meteorological, geographic, demographic, corporate, and economic information to form a big intelligent database. More

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Khem Gyanwali and Ayshuma Gautam. "Cost allocation for cross-border transmission lines in the BBIN sub-region using Game theory." Journal of Innovations in Engineering Education 7, no. 1 (2024): 138–43. https://doi.org/10.3126/jiee.v7i1.73313.

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The BBIN sub-region - Bangladesh, Bhutan, India, and Nepal - are witnessing a significant surge in electricity demand, accompanied by an uneven distribution of resources and consumption patterns across the region. Optimizing the unevenly distributed energy resources through a harmonized generation mix, tailored to the distinct load patterns and demands of individual nations, creates opportunities for enhanced electricity trade through multilateral cooperation. To facilitate this, the region has been conceptualized into four nodes connected by five interconnections: Bangladesh-Bhutan, Banglades

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Monna, Sameh, Ramez Khaldi, Adel Juaidi, Aiman Albatayneh, Antonio Jesús Zapata-Sierra, and Francisco Manzano-Agugliaro. "Potential Electricity Production by Installing Photovoltaic Systems on the Rooftops of Residential Buildings in Jordan: An Approach to Climate Change Mitigation." Energies 15, no. 2 (2022): 496. https://doi.org/10.3390/en15020496.

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Countries with limited natural resources and high energy prices, such as Jordan, facesignificant challenges concerning energy consumption and energy efficiency, particularly in thecontext of climate change. Residential buildings are the most energy-consuming sector in Jordan.Photovoltaic (PV) systems on the rooftops of residential buildings can solve the problem of increasingelectricity demands and address the need for more sustainable energy systems. This study calculatedthe potential electricity production from PV systems installed on the available rooftops of residentialbuildings and compar

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Gyalai-Korpos, Miklós, László Zentkó, Csaba Hegyfalvi, et al. "The Role of Electricity Balancing and Storage: Developing Input Parameters for the European Calculator for Concept Modeling." Sustainability 12, no. 3 (2020): 811. http://dx.doi.org/10.3390/su12030811.

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Despite the apparent stability of the electricity system from a consumer’s point of view, there is indeed significant effort exerted by network operators to guarantee the constancy of the electricity supply in order to meet demands any time. In the energy sector models provide an important conceptual framework to generate a range of insight, examine the impacts of different scenarios and analyze the supply and demand of energy. This paper presents a user-oriented and transparent modeling concept of the European calculator, a tool for delineating emission and sustainable transformation pathways

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Muhammad, Adnan Ali, Subhani Ghulam, and Akram Saira. "Economic Viability of Solar Absorption Cooling System in Pakistan." International Journal of Advance Study and Research Work 1, no. 5 (2018): 06–14. https://doi.org/10.5281/zenodo.1408478.

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<strong><em>In developing countries, electricity demand is ever increasing. The growing trend in the number of skyscraper building structures and increase in the use of electrical equipment installed in industrial as well as commercial buildings. </em></strong> <strong><em>Shortfall of electricity in Pakistan and a large difference in demand-supply of electricity emphasis on the alternative / cost effective solutions of the electricity and as well as cooling. In this regard, the uses of cooling technologies like Absorption Cooling have been a desired solution due to instantaneous availability

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Acakpovi, Amevi, Alfred Tettey Ternor, Nana Yaw Asabere, Patrick Adjei, and Abdul-Shakud Iddrisu. "Time Series Prediction of Electricity Demand Using Adaptive Neuro-Fuzzy Inference Systems." Mathematical Problems in Engineering 2020 (August 8, 2020): 1–14. http://dx.doi.org/10.1155/2020/4181045.

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This paper is concerned with the reliable prediction of electricity demands using the Adaptive Neuro-Fuzzy Inference System (ANFIS). The need for electricity demand prediction is fundamental and vital for power resource planning and monitoring. A dataset of electricity demands covering the period of 2003 to 2018 was collected from the Electricity Distribution Company of Ghana, covering three urban areas namely Mallam, Achimota, and Ga East, all in Ghana. The dataset was divided into two parts: one part covering a period of 0 to 500 hours was used for training of the ANFIS algorithm while the s

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Monna, Sameh, Ramez Abdallah, Adel Juaidi, Aiman Albatayneh, Antonio Jesús Zapata-Sierra, and Francisco Manzano-Agugliaro. "Potential Electricity Production by Installing Photovoltaic Systems on the Rooftops of Residential Buildings in Jordan: An Approach to Climate Change Mitigation." Energies 15, no. 2 (2022): 496. http://dx.doi.org/10.3390/en15020496.

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Countries with limited natural resources and high energy prices, such as Jordan, face significant challenges concerning energy consumption and energy efficiency, particularly in the context of climate change. Residential buildings are the most energy-consuming sector in Jordan. Photovoltaic (PV) systems on the rooftops of residential buildings can solve the problem of increasing electricity demands and address the need for more sustainable energy systems. This study calculated the potential electricity production from PV systems installed on the available rooftops of residential buildings and

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Ha, Sungkyun, Sungho Tae, and Rakhyun Kim. "Energy Demand Forecast Models for Commercil Buildings in South Korea." Energies 12, no. 12 (2019): 2313. http://dx.doi.org/10.3390/en12122313.

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With the Paris Agreement entering into full force, South Korea must submit its target greenhouse gas emissions for commercial buildings by 2030 to the United Nations Framework Convention on Climate Change. To determine this target, the annual energy demands must be forecasted through appropriate models; the development of these models is the focus of our study. We developed a system to calculate energy demand forecasts by searching for suitable methods. We built distinct energy forecast models for petroleum, city gas, electricity, heat, and renewable energies. The results show that the most ap

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Zhang, Shuo, Sean Byrne, Liam Fennelly, Divyanshu Sood, James O'Donnell, and Terence O'Donnell. "Home energy optimization using vehicle-to-home." Open Research Europe 5 (February 10, 2025): 48. https://doi.org/10.12688/openreseurope.19007.1.

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Background Vehicle to home (V2H) involves using the energy stored in Electric Vehicle (EV) batteries to lower home energy costs by shifting energy use from high-cost periods to low-cost periods, including charging EVs overnight. This approach also helps manage grid demand peaks and decarbonize the transport and energy sectors. Methods This study models a home energy system, integrating grid connections, household energy demands, heating systems, EVs and photovoltaic (PV) panels. The optimization model aims to utilise the EV battery and smart electricity price tariffs to minimize home energy co

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Jaber, J. O., M. S. Mohsen, S. D. Probert, and M. Alees. "Future electricity-demands and greenhouse-gas emissions in Jordan." Applied Energy 69, no. 1 (2001): 1–18. http://dx.doi.org/10.1016/s0306-2619(00)00068-4.

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Kim, Hana. "Economic and environmental implications of the recent energy transition on South Korea’s electricity sector." Energy & Environment 29, no. 5 (2018): 752–69. http://dx.doi.org/10.1177/0958305x18759177.

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South Korea’s electricity sector is at a crossroads. A transition to a safer and more ecologically friendly electricity system, one that would reduce dependence on coal and nuclear power plants and produce more electricity from new and renewable energy, is being suggested and actively discussed. Changes to these two pillars of the electricity sector, which have enabled a reliable and affordable electricity supply, present environmental and economic concerns. Will this shift adversely affect the electricity sector’s greenhouse gas emissions? Will this change be economically feasible? To answer

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Crozier, Constance, Christopher Quarton, Noramalina Mansor, Dario Pagnano, and Ian Llewellyn. "Modelling of the Ability of a Mixed Renewable Generation Electricity System with Storage to Meet Consumer Demand." Electricity 3, no. 1 (2022): 16–32. http://dx.doi.org/10.3390/electricity3010002.

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In this paper, we explore how effectively renewable generation can be used to meet a country’s electricity demands. We consider a range of different generation mixes and capacities, as well as the use of energy storage. First, we introduce a new open-source model that uses hourly wind speed and solar irradiance data to estimate the output of a renewable electricity generator at a specific location. Then, we construct a case study of the Great Britain (GB) electricity system as an example using historic hourly demand and weather data. Three specific sources of renewable generation are considere

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Joskow, Paul L. "Creating a Smarter U.S. Electricity Grid." Journal of Economic Perspectives 26, no. 1 (2012): 29–48. http://dx.doi.org/10.1257/jep.26.1.29.

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This paper focuses on efforts to build what policymakers call the “smart grid,” involving 1) improved remote monitoring and automatic and remote control of facilities in high-voltage electricity transmission networks; 2) improved remote monitoring, two-way communications, and automatic and remote control of local distribution networks; and 3) installation of “smart” metering and associated communications capabilities on customer premises so that customers can receive real-time price information and/or take advantage of opportunities to contract with their retail supplier to manage the consumer

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Forsberg, Charles. "Base-Load Nuclear Reactors for Fully Dispatchable Electricity: Nuclear Air-Brayton Combined Cycles, Firebrick Heat Storage, Hydrogen Storage, and Hydrocarbon Biofuels." Energies 18, no. 4 (2025): 821. https://doi.org/10.3390/en18040821.

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Three partly coupled integrated nuclear energy systems are described. These enable base-load nuclear reactors to provide fully dispatchable electricity without greenhouse-gas emissions, thus replacing gas turbines burning natural gas and batteries storing electricity. These hybrid systems link the industrial sector to the electricity sector. Firstly, electricity-to-high-temperature (1800 °C) gigawatt-hour firebrick heat storage converts low-price electricity to high-temperature stored heat to provide dispatchable heat for industry and power generation. Secondly, Nuclear Air-Brayton Combined Cy

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Asplund, Anton, and Lars J. Nilsson. "Perspective on industrial electrification and utility scale PV in the Arctic region." International Journal of Sustainable Energy Planning and Management 41 (June 19, 2024): 34–44. http://dx.doi.org/10.54337/ijsepm.8180.

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Two concurrent trends may fundamentally change how we understand the role of solar PV at high latitudes. Until now, relatively low annual insolation in combination with low electricity demand during the summer months has not favoured PV in the Arctic. However, continued decreases in costs for PVs in combination with increasing electricity demand from industrial electrification is quickly changing the situation. Net-zero climate targets necessitates industrial decarbonisation and low-cost electricity from solar and wind facilitates emission reductions through electrification and hydrogen. While

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Rüdisüli, Martin, Sinan L. Teske, and Urs Elber. "Impacts of an Increased Substitution of Fossil Energy Carriers with Electricity-Based Technologies on the Swiss Electricity System." Energies 12, no. 12 (2019): 2399. http://dx.doi.org/10.3390/en12122399.

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Electrifying the energy system with heat pumps and battery electric vehicles (BEV) is a strategy of Switzerland and many other countries to reduce CO2 emissions. A large electrification, however, poses several new challenges for the electricity system, particularly in combination with a simultaneous substitution of nuclear power plants (NPP) by volatile renewables such as photovoltaics (PV). In this study, these challenges in terms of additional electricity demands, deficits and surpluses as well as effective CO2 mitigation are assessed in a dynamic and data-driven approach. To this end, elect

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Haq, Azhar Ul, Attique Ur Rehman, Maryam Jalal, and Ihsan Ullah Khalil. "Analyzing the Residential Electricity Consumption Under Varying Seasonal and Weather Conditions." Financial Engineering 2 (October 8, 2024): 220–26. http://dx.doi.org/10.37394/232032.2024.2.20.

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This article analyses the effects of seasonal variations and weather effects on the electricity consumption of residential consumers. To optimize energy usage, precise load profile forecasts are critical, and Demand Side Management (DSM) is a key strategy. DSM reduces the cost of energy acquisition and the associated penalties by continuously monitoring energy use and managing appliance schedules. The proposed approach utilizes DSM-assisted agent-based modeling to anticipate electricity usage patterns for 300 households. It also models inductive and non-inductive loads separately and selects s

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