Relevant bibliographies by topics / Electricity Demands

Contents

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

Academic literature on the topic 'Electricity Demands'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Electricity Demands"

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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Electricity Demands"

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Paisios, Andreas. "Profiling and disaggregation of electricity demands measured in MV distribution networks." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28777.

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Despite the extensive deployment of smart-meters (SMs) at the low-voltage (LV) level, which are either fully operational or will be in the near future, distribution network operators (DNOs) are still relying on a limited number of permanently installed monitoring devices at primary and secondary medium-voltage (MV) substations, for purposes of network operation and control, as well as to inform and facilitate trading interactions between generators, distributors and suppliers. Accordingly, improved and sufficiently developed models for the analysis of aggregate demands at the MV-level are requ
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Swing, Gustafsson Moa. "The impact on the energy system of heating demands in buildings : A case study on district heating and electricity for heating in Falun, Sweden." Licentiate thesis, Mälardalens högskola, Framtidens energi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-34255.

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Ralevic, Peter. "An optimization study of integrated agriculture production systems for meeting household food, fodder and fuel demands : a case study in the dryland region of India." Thesis, Kingston, Ont. : [s.n.], 2008. http://hdl.handle.net/1974/1246.

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Commin, Andrew Neil. "Matching renewable electricity supply to electricity demand in Scotland." Thesis, University of Aberdeen, 2015. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=230176.

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The threat of climate change has led to many countries and regions adopting renewable targets. Scotland's is one of the most ambitious, with an aim to generate the equivalent to 100% of its electricity needs from renewable sources by 2020. Scotland has a very large renewable resource, primarily consisting of offshore and onshore wind, tidal stream, wave and hydro power; all of which are characterised by having variable output. Over a long period, such as a year, variability in renewable generation will average out and may meet or exceed total annual demand. This thesis investigates whether mat
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Ericson, Torgeir. "Short-term electricity demand response." Doctoral thesis, Norwegian University of Science and Technology, Department of Electrical Power Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-1484.

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Ahang, M. (Mohammadreza). "Demand response in electricity market." Master's thesis, University of Oulu, 2017. http://urn.fi/URN:NBN:fi:oulu-201709062808.

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The flexibility of the system depends on the price elasticities. Demand response programs use the price elasticities in order to smooth the load curve and also increases the flexibility as well as the reliability of the system. Nordic regions have international energy exchange market (Nord pool). This market determines the clearing price after receiving the information from supply and demand sides. This study uses system price from Nord pool market and the electricity consumption from Finland to estimate the hourly price elasticities from 2013 to 2016. The project uses the system of simultan
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Al-Madfai, Hasan. "Weather corrected electricity demand forecasting." Thesis, University of South Wales, 2002. https://pure.southwales.ac.uk/en/studentthesis/weather-corrected-electricity-demand-forecasting(2e066cc4-58b1-4694-9937-ee8f57fbed02).html.

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Electricity load forecasts now form an essential part of the routine operations of electricity companies. The complexity of the short-term load forecasting (STLF) problem arises from the multiple seasonal components, the change in consumer behaviour during holiday seasons and other social and religious events that affect electricity consumption. The aim of this research is to produce models for electricity demand that can be used to further the understanding of the dynamics of electricity consumption in South Wales. These models can also be used to produce weather corrected forecasts, and to p
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Richardson, Ian. "Integrated high-resolution modelling of domestic electricity demand and low voltage electricity distribution networks." Thesis, Loughborough University, 2011. https://dspace.lboro.ac.uk/2134/7968.

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Assessing the impact of domestic low-carbon technologies on the electricity distribution network requires a detailed insight into the operation of networks and the power demands of consumers. When used on a wide-scale, low-carbon technologies, including domestic scale micro-generation, heat pumps, electric vehicles and flexible demand, will change the nature of domestic electricity use. In providing a basis for the quantification of the impact upon distribution networks, this thesis details the construction and use of a high-resolution integrated model that simulates both existing domestic ele
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Mangisa, Siphumlile. "Statistical analysis of electricity demand profiles." Thesis, Nelson Mandela Metropolitan University, 2013. http://hdl.handle.net/10948/d1011548.

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An electricity demand profile is a graph showing the amount of electricity used by customers over a unit of time. It shows the variation in electricity demand versus time. In the demand profiles, the shape of the graph is of utmost importance. The variations in demand profiles are caused by many factors, such as economic and en- vironmental factors. These variations may also be due to changes in the electricity use behaviours of electricity users. This study seeks to model daily profiles of energy demand in South Africa with a model which is a composition of two de Moivre type models. The mode
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Villavicencio, Manuel. "Analyzing the optimal development of electricity storage in electricity markets with high variable renewable energy shares." Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLED044/document.

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L’essor des technologies renouvelable à apport variable pose des nombreuses difficultés dans le fonctionnement du système électrique. Ce système doit garantir l’équilibre offre-demande à tout moment, ainsi que d’assurer des hauts niveaux de fiabilité du service. Donc, la variabilité accroît les besoins de flexibilité et des services système. Ils existent plusieurs options capables de fournir ceux services, dont : le renforcement des interconnections, le pilotage intelligent de la demande, le renforcement des capacités de réponse rapide des unités de production, mais aussi, le mis en œuvre des
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Books on the topic "Electricity Demands"

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Energy, Ontario Ministry of. Ontario's Future Electricity Demand: Energy 2000: Electricity. s.n, 1987.

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Energy, Ontario Ministry of, ed. Ontario's future electricity demand. Ministry of Energy, 1987.

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Reiss, Peter C. Household electricity demand, revisited. National Bureau of Economic Research, 2001.

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Jamasb, Tooraj, and Michael Pollitt, eds. The Future of Electricity Demand. Cambridge University Press, 2011. http://dx.doi.org/10.1017/cbo9780511996191.

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Berk, Kevin. Modeling and Forecasting Electricity Demand. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-08669-5.

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Scott, S. Domestic electricity demand: Executive summary. Economic and Social Research Institute, 1991.

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Kokkelenberg, Edward Charles. Oil shocks and the demand for electricity. Dept. of Agricultural Economics, New York State College of Agriculture and Life Sciences, Cornell University, 1992.

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Stamou, N. Forecasting residential electricity demand in the U.K. UMIST, 1997.

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M, Bolet Adela, and Georgetown University. Center for Strategic and International Studies., eds. Forecasting U.S. electricity demand: Trends and methodologies. Westview Press, 1985.

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Francisco, Clodualdo R. Demand for electricity in the Philippines: Implications for alternative electricity pricing policies. Philippine Institute for Development Studies, 1988.

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Book chapters on the topic "Electricity Demands"

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Teske, Sven, and Thomas Pregger. "OECM 1.5 °C Pathway for the Global Energy Supply." In Achieving the Paris Climate Agreement Goals. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99177-7_12.

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AbstractThis chapter summarizes all the calculated energy demands for the industry, service, transport, and building sectors. The supply side results for the OECM 1.5 °C scenario are documented. Electricity generation and the power generation required globally are provided by technology, together with the corresponding renewable and fossil energy shares. A detailed overview of the heat demand by sector, the heat temperature levels required for industrial process heat, and the OECM 1.5 °C heat supply trajectories by technology are presented, in both total generation and installed capacities. Th
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Bekçi, Eyüp, and Kemal Koca. "Hybrid Renewable Energy to Greener and Smarter Cities: A Case Study of Kayseri Province." In Lecture Notes in Civil Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57800-7_20.

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AbstractIn this study, a hybrid energy system was implemented to fulfill the electricity requirements of the trams operating in Kayseri province. The tram's annual electricity consumption data was acquired on a monthly basis from the local electricity company in Kayseri. Utilizing the obtained data, energy and cost simulations were conducted employing the Homer-Pro program. The primary objective of this investigation is to enhance sustainability while satisfying electricity demands with minimal carbon emissions. Consequently, the established hybrid energy system incorporates renewable energy s
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Aithal, Avinash, Andrew Wainwright, and Steve Atkins. "Market Principles." In Power Systems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-92905-2_2.

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Abstract Increased volumes of embedded generation and smart, flexible demands provide consumers with more control and choice over how Britain’s homes, businesses and communities use their electricity and facilitate new competitive opportunities for participation in energy markets. Distribution system operators are facilitators of such markets and this chapter considers the market principles adopted by DSOs in developing GB markets.
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Morgan, Roger. "Displacement of Conventional Domestic Energy Demands by Electricity: Implications for the Distribution Network." In Sustainability in Energy and Buildings. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17387-5_16.

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Balwant, Manoj Kumar, Sai Rohan Basa, and Rajiv Misra. "Reducing Peak Electricity Demands of a Cluster of Buildings with Multi-Agent Reinforcement Learning." In Springer Proceedings in Mathematics & Statistics. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-15175-0_25.

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Rhys, J. M. W. "Electricity Trends and Outlook." In Energy Demand. Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1007/978-1-349-09279-6_9.

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Berk, Kevin. "Electricity market." In Modeling and Forecasting Electricity Demand. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-08669-5_1.

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Myllyntaus, Timo. "Demand for Electricity." In Electrifying Finland. Palgrave Macmillan UK, 1991. http://dx.doi.org/10.1007/978-1-349-11750-5_4.

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Williams, Densil A., and Curtis B. Charles. "4 IR Technologies to Facilitate Planning in Smart Cities of the Future." In Smart Cities. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35664-3_2.

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AbstractUrbanization is becoming a grave concern for city planners. Globally, as the urban population continues to grow and places greater demands on resources, citizens require quick, efficient, and cost-effective services, among other things. Critically, city planners must provide relevant infrastructural support to make their city run effectively. These include but are not limited to potable water, electricity, roads and bridges, housing, transportation, and information and communications technologies, among other things.To address this increasing demand in their cities, planners have turne
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Derks, R. "Demand Management." In Integrated Electricity Resource Planning. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1054-9_26.

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Conference papers on the topic "Electricity Demands"

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Wang, Lei, Junqiang Shang, Huiqun Wo, Aoqing Tao, and Jiayi Li. "The Optimization of Basic Electricity Charges for the Two-part Electricity Price Based on Seasonal Demands." In 2024 4th International Conference on Energy Engineering and Power Systems (EEPS). IEEE, 2024. https://doi.org/10.1109/eeps63402.2024.10804455.

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Chong, Daniel J. S., Timothy G. Walmsley, Martin J. Atkins, Botond Bertok, and Michael RW Walmsley. "Aotearoa-New Zealand�s Energy Future: A Model for Industrial Electrification through Renewable Integration." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.189578.

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This work explores Aotearoa-New Zealand�s potential to fully electrify and source industrial process heat demands from renewable energy for 286 industrial sites while exploring the feasibility of green methanol production using excess electricity. Most energy models rely on spatially aggregated supply and demand, which limits the accurate representation of energy value chains. To address this limitation, the model incorporates industrial sites with varied temperature profiles, enabling the use of diverse heating technologies such as heat pumps, electrode boilers, bubbling fluidised bed reactor
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Pangampe, Sahid, Ikhlas Kitta, Arham Amri, and Keisha Mahira Ikhra. "Planning for Additional Power Generation Capacity in the South Sulawesi Area Based on the OseMOSYS Model." In International Conference on Research in Engineering and Science Technology (IC-REST) 2023. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-t0qjao.

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The forecast for electrical energy demands in the South Sulawesi area in 2060 is 198,353 GWh, so the electricity generation capacity required under the Business As Usual scenario is 38.68 GW in that year. If this demand is connected to the scenario of limiting the construction and operation of coal-fired power plants, then the capacity required is 41.02 GW. This article provides an overview of the value of electrical energy demand and generating capacity in South Sulawesi where the method used to plan additional electricity generating capacity is based on the OSeMOSYS model. The generating cap
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Iwundu, Chukwudi Paschal, Ogheneruona Endurance Diemuodeke, and Joseph Chukwuma Ofodu. "Modelling and Optimization of Hybrid Photovoltaic-Wind Turbine with Energy Storage System for Autonomous Electricity Generation." In Africa International Conference on Clean Energy and Energy Storage. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-k0qcyv.

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The integration of renewable energy sources, such as photovoltaic (PV) and wind turbines, has gained significant attention due to the growing demand for reliable and clean energy solutions. This paper presents a comprehensive modelling and optimization approach for hybrid PV and wind turbine systems to maximize system performance at the same time minimizing cost and surplus energy. The proposed model incorporates detailed mathematical formulations that capture the interactions between PV modules, wind turbines, and the storage system which is a battery energy storage system (BESS). The model a
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Guo, Bentao, and Vincent Lemort. "DESIGNING OF AN OFF-GRID REVERSIBLE HEAT PUMP/ORGANIC RANKINE CYCLE SYSTEM FOR ELECTRICITY AND COOLING DEMANDS OF A NIGERIAN FAMILY FARM." In 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024). ECOS 2024, 2024. http://dx.doi.org/10.52202/077185-0037.

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Zhang, Lingwei, and Yufei Wang. "Optimization of steam power systems in industrial parks considering the distributed heat supply and auxiliary steam turbines." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.181550.

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In the steam power system for the centralized heat supply in an industrial park, heat demands of all consumers are satisfied by the energy station, leading to the high steam delivery costs caused by the several distant enterprises. Additionally, the number of steam levels is limited due to the trade-off between distance-related costs and heat cascaded utilization, thus some consumers are supplied with heat at higher temperature than that of required, resulting in the low energy efficiency. To deal with the above problems, this work proposes an optimization model for steam power systems (SPSs)
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Ahmadi, Lena, Woramon Unbangluang, Eric Croiset, et al. "Forecasting the Impact of Plug-In Hybrid Electric Vehicles Penetration on Ontario’s Electricity Grid." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-38240.

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Vehicle emissions are a major concern in the development of new automobiles. Plug-in hybrid electric vehicles (PHEVs) have a large potential to reduce greenhouse gases emissions and increase fuel economy and fuel flexibility. PHEVs are propelled by the energy from both gasoline and electric power sources. Penetration of PHEVs into the automobile market affects the electrical grid and increasing the electricity demand has not been fully investigated. This paper studies effects of the wide spread adoption of PHEVs on peak and base load demands in Ontario, Canada. Long-term forecasting models of
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Aldaoudeyeh, Al-Motasem I., Rajesh G. Kavasseri, and Ivan T. Lima. "Characterization of Forward Electricity Market Price Variations and Price-Responsive Demands." In 2017 Ninth Annual IEEE Green Technologies Conference (GreenTech). IEEE, 2017. http://dx.doi.org/10.1109/greentech.2017.37.

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Paisios, A., A. Ferguson, and S. Z. Djokic. "Solar analemma for assessing variations in electricity demands at mv buses." In Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MedPower 2016). Institution of Engineering and Technology, 2016. http://dx.doi.org/10.1049/cp.2016.1006.

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In Hyeob Yu, Jin Ki Lee, Jong Min Ko, and Sun Ic Kim. "A method for classification of electricity demands using load profile data." In Fourth Annual ACIS International Conference on Computer and Information Science (ICIS'05). IEEE, 2005. http://dx.doi.org/10.1109/icis.2005.11.

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Reports on the topic "Electricity Demands"

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Skytte, Klaus, Marton Leander Vølstad, and Ditte Stougaard Stiler. Overview of Electricity and Energy Capacity for the Establishment of Electric Aviation Routes in the Nordic Region. Nordregio, 2023. http://dx.doi.org/10.6027/wp2023:5.1403-2511.

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This report explores which routes in the Nordic Region will be suitable for establishing electric aviation according to two factors: energy demands of airports and regional power adequacy. The report is part of the Nordregio project Electric aviation and the effects on the Nordic Regions and substantially builds on the project’s Accessibility study.
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Callaghan, Caitlin, Danielle Peterson, Timothy Cooke, Brandon Booker, and Kathryn Trubac. Installation resilience in cold regions using energy storage systems. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42200.

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Electrical energy storage (EES) has emerged as a key enabler for access to electricity in remote environments and in those environments where other external factors challenge access to reliable electricity. In cold climates, energy storage technologies face challenging conditions that can inhibit their performance and utility to provide electricity. Use of available energy storage technologies has the potential to improve Army installation resilience by providing more consistent and reliable power to critical infrastructure and, potentially, to broader infrastructure and operations. Sustainabl
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Callaghan, Caitlin, Danielle Peterson, Timothy Cooke, Brandon Booker, and Kathryn Trubac. Installation resilience in cold regions using energy storage systems. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42200.

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Electrical energy storage (EES) has emerged as a key enabler for access to electricity in remote environments and in those environments where other external factors challenge access to reliable electricity. In cold climates, energy storage technologies face challenging conditions that can inhibit their performance and utility to provide electricity. Use of available energy storage technologies has the potential to improve Army installation resilience by providing more consistent and reliable power to critical infrastructure and, potentially, to broader infrastructure and operations. Sustainabl
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Reiss, Peter, and Matthew White. Household Electricity Demand, Revisited. National Bureau of Economic Research, 2001. http://dx.doi.org/10.3386/w8687.

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Hostick, Donna J., David B. Belzer, Stanton W. Hadley, Tony Markel, Chris Marnay, and Michael C. W. Kintner-Meyer. Projecting Electricity Demand in 2050. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1172466.

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Hostick, Donna, David B. Belzer, Stanton W. Hadley, Tony Markel, Chris Marnay, and Michael Kintner-Meyer. Renewable Electricity Futures Study. Volume 3. End-Use Electricity Demand. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1219713.

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Hostick, D., D. B. Belzer, S. W. Hadley, T. Markel, C. Marnay, and M. Kintner-Meyer. Renewable Electricity Futures Study. Volume 3: End-Use Electricity Demand. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1046904.

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Wilbanks, T. J. (Energy and electricity supply and demand). Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6461786.

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Sezgen, Osman, Charles Goldman, and P. Krishnarao. Option Value of Electricity Demand Response. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/860221.

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Mikayilov, Jeyhun, and Abdulelah Darandary. Modeling and Projecting Regional Electricity Demand for Saudi Arabia. King Abdullah Petroleum Studies and Research Center, 2023. http://dx.doi.org/10.30573/ks--2023-mp01.

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Abstract:
This paper utilizes a structural time series approach to model Saudi Arabia’s regional electricity demand, capturing undetected forces of variability in the data-generating process that include improvements in technology, energy-saving behavior, and other underlying trends that are excluded under conventional estimation methods. National models of aggregate electricity consumption might not be representative, as electricity prices are administered regionally and Saudi Arabia’s regions have unique social and economic characteristics. We find evidence that the regions have unique responses to pr
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