Academic literature on the topic 'Consumers' demand for electric power'
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Journal articles on the topic "Consumers' demand for electric power"
Tretyakov, Evgeny. "Demand management by active consumers in intelligent electric power systems." E3S Web of Conferences 157 (2020): 05006. http://dx.doi.org/10.1051/e3sconf/202015705006.
Full textTretyakov, Evgeny. "Demand management by active consumers in intelligent electric power systems." E3S Web of Conferences 164 (2020): 10004. http://dx.doi.org/10.1051/e3sconf/202016410004.
Full textGull, Muhammad S., Nasir Mehmood, Huzaifa Rauf, Muhammad Khalid, and Naveed Arshad. "Soft Load Shedding Based Demand Control of Residential Consumers." Electronics 11, no. 4 (February 16, 2022): 615. http://dx.doi.org/10.3390/electronics11040615.
Full textHu, Yu-Chen, Yu-Hsiu Lin, and Harinahalli Lokesh Gururaj. "Partitional Clustering-Hybridized Neuro-Fuzzy Classification Evolved through Parallel Evolutionary Computing and Applied to Energy Decomposition for Demand-Side Management in a Smart Home." Processes 9, no. 9 (August 29, 2021): 1539. http://dx.doi.org/10.3390/pr9091539.
Full textSon, Namrye, Seunghak Yang, and Jeongseung Na. "Deep Neural Network and Long Short-Term Memory for Electric Power Load Forecasting." Applied Sciences 10, no. 18 (September 17, 2020): 6489. http://dx.doi.org/10.3390/app10186489.
Full textTretyakov, Evgeny. "Advanced methods of transportation and distribution of electrical power in smart power grids of railways." MATEC Web of Conferences 239 (2018): 01010. http://dx.doi.org/10.1051/matecconf/201823901010.
Full textMarangoni, Filipe, Leandro Magatão, and Lúcia Valéria Ramos de Arruda. "Demand Response Optimization Model to Energy and Power Expenses Analysis and Contract Revision." Energies 13, no. 11 (June 1, 2020): 2803. http://dx.doi.org/10.3390/en13112803.
Full textJoshi, Govind, and Salman Mohagheghi. "Optimal Operation of Combined Energy and Water Systems for Community Resilience against Natural Disasters." Energies 14, no. 19 (September 26, 2021): 6132. http://dx.doi.org/10.3390/en14196132.
Full textDiamenu, Godwin. "Statistical Analysis of Electric Power Distribution Grid Outages." European Journal of Engineering and Technology Research 6, no. 3 (April 12, 2021): 27–33. http://dx.doi.org/10.24018/ejers.2021.6.3.2406.
Full textDiamenu, Godwin. "Statistical Analysis of Electric Power Distribution Grid Outages." European Journal of Engineering and Technology Research 6, no. 3 (April 12, 2021): 92–98. http://dx.doi.org/10.24018/ejeng.2021.6.3.2406.
Full textDissertations / Theses on the topic "Consumers' demand for electric power"
Oliver, Henry. "The demand for green electricity amongst residential consumers in the Cape Peninsula." Thesis, Stellenbosch : University of Stellenbosch, 2009. http://hdl.handle.net/10019.1/921.
Full textENGLISH ABSTRACT: The purpose of this study is to determine whether residential electricity consumers within the Cape Peninsula would be willing to voluntarily purchase green electricity if it is sold at a premium price. International experience in the field of green marketing shows that while niche markets for green electricity clearly existed, few programmes however exceeded a 5% penetration in the residential market. This study therefore methodologically drew on recent development in the literature of norm-motivated behaviour to identify testable factors that could influence residential consumers’ willingness to purchase premium-priced green electricity. After identifying these core testable factors, they were used to test various hypotheses. This was done through the testing of primary data that was collected through a telephone market survey of 405 respondents within the Cape Peninsula. These respondents were all identified as financial decision makers within their electricity consuming households. This study subsequently found that residential electricity consumers in the Cape Peninsula are very concerned about the future of the environment and that a large percentage of them (more than 40%) from almost all income levels might voluntary buy premium-priced green electricity. However, as it did identify that consumers must truly be convinced of the positive effects that green electricity would have on the environment before voluntarily supporting such a campaign, it found that consumers might not be well enough informed on environmental and climate change issues to ensure their actual support. To be at all successful, such a green electricity marketing campaign should be very informative and specifically focused on the positive effects that such a purchase would have on the environment. This study also found that supportive residential consumers would on average be willing to pay a maximum premium of 26% or approximately 15c/kWh. The combined maximum potential value of these premiums amount to R39 million per month. This serves as indication that there is much room for future development of the green electricity market. This study also identified that the majority of residential consumers believe that excessive users of electricity should be forced to make a larger financial contribution towards the generation of green electricity than low usage consumers. Based on its findings, the study closes with recommendations to role players in the green electricity market, i.e. the City of Cape Town Municipality, Darling Wind Farm and Eskom.
AFRIKAANSE OPSOMMING: Die doel van hierdie studie is om te bepaal of residensiële elektrisiteitsverbruikers in die Kaapse Skiereiland gewillig sou wees om vrywilliglik groen elektrisiteit teen ’n premie aan te koop. Internasionale ervaring op die gebied van groen elektrisiteit het getoon dat, alhoewel daar verseker nismarkte vir groen elektrisiteit bestaan, baie min programme meer as 5% van die residensiële mark kon wen. Hierdie studie steun dus metodologies op onlangse verwikkelinge in die literatuur rakende normgemotiveerde gedrag om sodoende toetsbare faktore te identifiseer wat moontlik verbruikers se bereidwilligheid om groen elektrisiteit teen ’n premie te koop, kan verbeter. Na die identifisering van hierdie toetsbare faktore is hulle gebruik om verskeie hipoteses te toets. Dit is gedoen deur die toets van primêre data wat deur middel van telefoon-marknavorsing by 405 respondente binne die Kaapse Skiereiland ingesamel is. Hierdie respondente was almal geïdentifiseer as finansiële besluitnemers van huishoudings wat elektrisiteit gebruik. Hierdie studie het bevind dat residensiële elektrisiteitsverbruikers in die Kaapse Skiereiland baie besorg is oor die toekoms van die omgewing en dat ’n groot hoeveelheid van hierdie huishoudings (meer as 40%) van amper alle inkomstegroepe moontlik gewillig sou wees om groen elektrisiteit teen ’n premie aan te koop. Die studie het ook bevind dat omdat hierdie bereidwilligheid van die residensiële verbruikers onderhewig is aan hul oortuiging dat groen elektrisiteit ’n werklike positiewe effek op die omgewing uitoefen, residensiële verbruikers dalk huidiglik nie werklik goed genoeg ingelig is rakende omgewingsbewaring- en klimaatsveranderingskwessies nie. Hierdie gebrek aan kennis kan dus moontlik hul bereidwilligheid om groen elektrisiteit teen ’n premie aan te koop, negatief beïnvloed. Om suksesvol te wees sal groen elektrisiteit-bemarkingsveldtogte baie volledige inligting moet verskaf en sterk gefokus moet wees op die omgewingsvoordele wat die aankoop van groen elektrisiteit inhou. Die studie het ook bevind dat residensiële ondersteuners bereid sou wees om gemiddeld ’n maksimum premie van 26% of 15c/kWh te betaal. Die gesamentlike maksimum potensiële waarde van hierdie premies is R39 miljoen per maand wat daarop dui dat daar heelwat ruimte mag wees vir toekomstige uitbreiding van die mark vir groen elektrisiteit. Hierdie studie het ook geïdentifiseer dat die meerderheid residensiële elektrisiteitsverbruikers glo dat oormatige elektrisiteitsverbruikers gedwing moet word om ‘n groter finansiële bydrae tot die opwekking van groen elektrisiteit te maak as lae elektrisiteitsverbruikers. Gebaseer op die bevindinge van hierdie studie, sluit dit af met aanbevelings tot verskeie rolspelers in die mark vir groen elektrisiteit, soos die Kaapstadse Munisipaliteit, Darling Windplaas en Eskom.
Shao, Shengnan. "An Approach to Demand Response for Alleviating Power System Stress Conditions due to Electric Vehicle Penetration." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/29335.
Full textPh. D.
De, Villiers Cecile A. "Demand for green electricity amongst business consumers in the Western and Northern Cape of South Africa." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/8473.
Full textClimate change is one of the most serious issues the world is facing today. With an economic slowdown globally, huge food shortages and record-high fuel prices, it has never been so important for countries to guard their natural resources to ensure future sustainability. The South African energy generation industry, of approximately 40 000 Mega Watt (MW), consists largely (90%) of coal-fired power stations, with the remainder comprising of nuclear and pumped storage schemes which are regarded as environmentally neutral. It is only recently that Eskom and independent power producers (e.g. Darling Independent Power Producer Wind farm with an estimated 10 MW) embarked on utilising South Africa's natural resources to generate electrical power. South Africa's access to inexpensive coal and paid off coal-fired power stations has made it difficult to justify the investment in renewable energy. However, on 31 March 2009 South Africa became the first African country to introduce a feed-in-tariff for renewable energy (Gipe, 2009). The hope is that this initiative would stimulate the investment in green energy generation. Eskom and municipalities are currently the only entities that have licences from the National Energy Regulator of South Africa (NERSA) to buy bulk electricity from power producers. The question therefore arises: if green electricity is more expensive to generate and is sold at a price premium to Eskom and municipalities, would they pass the premium on to consumers; can they differentiate the green electricity product and will consumers be willing to buy at a premium price? This research study aims to answer if businesses would be willing to pay a premium for green electricity, why they would be willing to buy it, which factors influence the purchasing decision and what barriers exist that will deter a purchase. A survey was conducted on businesses in the Western and Northern Cape of South Africa. The businesses sampled have a notified maximum demand of 50kVA or higher and excludes the re-distributor (City of Cape Town) customers. Approximately ten per cent of businesses would be willing buy green electricity. Most of these businesses have indicated that they are willing to pay a premium of five to nine per cent for green electricity. The businesses that are willing to pay the largest premiums (>10%) are in the electricity, gas, water, finance, insurance, real estate, business services, manufacturing, transport, storage and communications sector. Businesses that are willing to buy green electricity: • Have a strategy to reduce their carbon footprint; • Want to be community leaders (altruistic motivators); • Have as their biggest barrier the additional cost of green electricity; and • Feel that power utilities should be required to include a minimum percentage of green energy in their energy mix.
Чекамова, Вікторія Вікторівна. "Керування режимами споживання електричної потужності в електроенергетичній системі." Master's thesis, КПІ ім. Ігоря Сікорського, 2018. https://ela.kpi.ua/handle/123456789/28988.
Full textActuality of theme. To date, consumer demand for electricity is uneven. This leads to a decrease in the reliability and efficiency of the functioning of the grid, as well as the deterioration of the quality of electric energy. In connection with this, there is a need to regulate the demand of consumers for electric power. The necessity of the periodic application of administrative constraints on consumer demand for electricity was the fact that the energy sector of Ukraine was scarce at different times. This is explained by the fact that, on the one hand, there is insufficient amount of fuel at power plants, and on the other hand - physical deterioration of a significant amount of generating equipment of the power plant, as well as electric networks. The unfavorable structure of generating capacities was caused by the fact that in the united system of Ukraine there is a serious shortage of electric power. It is understood that Ukraine's energy system is insufficiently equipped with the required number of maneuvering blocks, which, in turn, can quickly enter the operating mode of hot or cold reserves, and also change the amount of electric power produced in a wide range. Therefore, the quality of electric energy, as well as the reliability of ensuring the demand of consumers for electric power, becomes an increasingly complex task for the Ukrainian energy sector. It is known that there are different methods and methods for controlling demand for electric power, the main of which are methods of structural and technological management, administrative and legal methods, economic and organizational. If we consider structural and technological methods, then we are talking about the unloading of the power system in emergency situations or the dipole of electric power. For this purpose, it would be advisable to increase the number of maneuvering capacities in the UES of Ukraine, namely the construction of new hydroelectric power stations, the construction and use of steam and gas turbine generating units, as well as the modernization of the existing equipment of the hydroelectric power station. But, unfortunately, this path requires significant financial and material costs, as well as a sufficiently long time. Therefore, it is necessary to apply such methods of controlling the demand of consumers for electric power, which provide the least amount of time and expenses, while remaining effective. It's about the economic management methods. Thus, one of such means of economic management of consumer demand is the tariff system of the country, namely tariffs differentiated by zones of the day. Differentiated tariffs in Ukraine have been in force since 1995. At that time, the use of such tariffs had a strong stimulating effect on consumers, with what each year their number became more and more. But, over time, the needs of consumers for electric energy have changed, with that, differentiated by zones of the day, namely, the coefficients of each zone, for a long time remained unchanged. In this regard, many scientists analyze the effect of differentiated tariffs on the equalization of daily charts, but at the same time, this problem remains relevant, because zone tariffs have lost their stimulating effects to attract new consumers, and at the same time, their number is even less. Accordingly, a new method of address management of consumer demand for electric power was proposed. The purpose and tasks of the study. The aim of the work is to improve the mechanism of address management of consumer demand for electric power. To achieve this goal, the following tasks were solved: • analysis of the current state of the Ukrainian energy sector; • estimation of the use of tariff-differentiated zones; • determination of the nature and degree of influence of groups of consumers on the formation of a daily schedule of electric load of the power system; • Comparison of the existing boundaries of the tariff zones of the day with the modern needs of consumers; • The concept and methodical bases of the construction and use of the mechanism of address control of electric power consumption modes have been improved; • The calculation of the participation coefficient and the distribution coefficient has been improved. Object of study. Processes of control of modes of consumption of electric power in the power system. Subject of study. Methods and methods for controlling the demand of electric power consumers in the energy system. Research methods. Methods of correlation and dispersion analysis, as well as mathematical statistics, are used to determine the nature and extent of the impact of major consumer groups on the unevenness of the schedules of the electric load of the power system; the study of the nature and degree of counteraction of the load of consumers, which use differentiated by the zones of the day tariffs in accordance with the change in demand for the power of consumers who do not use these tariffs; Estimating the potential of energy saving in electricity generation for electricity production, which can be obtained as a result of equalizing the unevenness of its loading schedule. Methods for establishing confidence intervals and clustering of hourly loads using Student's criterion are used to identify the actual days of the day with a statistically different level of electrical load of the power system and consumer groups. Methods of generalization and logical approach, methods of modeling electric power schedules, methods of optimal programming are used for the use of address management tools for power consumption in the grid. Scientific novelty of the obtained results. The method of determining the duration and limits of actual days of the day with a statistically different level of electric load, based on the grouping of hourly values of the load of the power system and consumers of electricity, has been improved. The indicator, which allows to assess the degree of counteraction to the electric load of "diffariffic" and "non-dipharmary" consumers, is improved. The quantitative indicators, namely, the coefficient of participation and the distribution coefficient, which allow estimating the participation of each of the participants in the proposed mechanism of address management of consumer demand in the alignment of the unevenness of the schedule of the electric load of the grid. The practical value of the results. For the effective stimulation of consumers to equalize the uneven schedule of electric loading of the UES of Ukraine, the proposed concept and methodical bases can be applied. Also, it has a new direction in developing market-based methods for controlling electricity consumption regimes in the grid.
Gopalakrishnan, Chandra. "Effectiveness of electrical demand reduction strategies." Morgantown, W. Va. : [West Virginia University Libraries], 2004. https://etd.wvu.edu/etd/controller.jsp?moduleName=documentdata&jsp%5FetdId=3776.
Full textTitle from document title page. Document formatted into pages; contains viii, 75 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 74-75).
Mangisa, Siphumlile. "Statistical analysis of electricity demand profiles." Thesis, Nelson Mandela Metropolitan University, 2013. http://hdl.handle.net/10948/d1011548.
Full textContreras, Sergio. "Regional electricity demand in the United States." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.
Full textChiu, Yuk Ha. "A cross-country empirical study on electricity demand /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?ECON%202004%20CHIU.
Full textIncludes bibliographical references (leaves 33-35). Also available in electronic version. Access restricted to campus users.
Si, Yau-li. "Forecasts of electricity demand and their implication for energy developments in Hong Kong." [Hong Kong : University of Hong Kong], 1990. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13009102.
Full textRinaldy. "A technique to incorporate the impacts of demand side management on generation expansion planning." Diss., Virginia Tech, 1992. http://hdl.handle.net/10919/40021.
Full textBooks on the topic "Consumers' demand for electric power"
Consumer durable choice and the demand for electricity. Amsterdam: North-Holland, 1985.
Find full textDivision, Ontario Hydro System Planning. Demand/supply options study: The options. [Toronto]: Ontario Hydro, System Planning Division, 1986.
Find full textReiss, Peter C. Household electricity demand, revisited. Cambridge, MA: National Bureau of Economic Research, 2001.
Find full textParikh, Jyoti K. Planning for demand side management in the electricity sector. Bombay: Indira Gandhi Institute of Development Research, 1994.
Find full textHari Gupta, Om, Manoj Tripathy, and Vijay K. Sood. Protection Challenges in Meeting Increasing Electric Power Demand. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60500-1.
Full textMichigan Electricity Options Study. Work Group Number Two. Final report of Work Group Number Two: Demand-side resource options. [Lansing]: Michigan Dept. of Commerce, 1987.
Find full textThe smart grid: Enabling energy efficiency and demand response. Lilburn, GA: Fairmont Press, 2009.
Find full textMeeting future energy needs draft demand/supply planning strategy. [Toronto]: Ontario Hydro, System Planning Division, 1987.
Find full textGlen, Jack D. Private sector electricity in developing countries: Supply and demand. Washington, D.C: World Bank, 1992.
Find full textOntario. Legislative Assembly. Select Committee on Energy. Report on Ontario Hydro draft demand supply planning strategy. [Toronto]: The Committee, 1989.
Find full textBook chapters on the topic "Consumers' demand for electric power"
Kaheh, Z., H. Arasteh, and P. Siano. "Social and Economic Factors in Demand-Side Flexibility." In Flexibility in Electric Power Distribution Networks, 1–19. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003122326-1.
Full textHari Gupta, Om, Manoj Tripathy, and Vijay K. Sood. "Modifications Required in Power System to Meet Increasing Power Demand." In Protection Challenges in Meeting Increasing Electric Power Demand, 19–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60500-1_2.
Full textHu, Zhaoguang, Xinyang Han, and Quan Wen. "The Important Participants in Demand-Side Management: Power Consumers." In Integrated Resource Strategic Planning and Power Demand-Side Management, 385–469. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37084-7_6.
Full textKaye, R. John, Felix F. Wu, and Pravin P. Varaiya. "Optimizing Demand Side Contributions to Power System Security." In Service Opportunities for Electric Utilities: Creating Differentiated Products, 147–68. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3140-1_8.
Full textHatziargyriou, N., E. L. Karfopoulos, and K. Tsatsakis. "The Impact of EV Charging on the System Demand." In Electric Vehicle Integration into Modern Power Networks, 57–85. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-0134-6_3.
Full textDarabi, Zahra, and Mehdi Ferdowsi. "Impact of Plug-In Hybrid Electric Vehicles on Electricity Demand Profile." In Smart Power Grids 2011, 319–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-21578-0_11.
Full textLukszo, Zofia, and Esther H. Park Lee. "Demand Side and Dispatchable Power Plants with Electric Mobility." In Smart Grids from a Global Perspective, 163–77. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28077-6_11.
Full textSilva, Cátia, Pedro Faria, and Zita Vale. "Managing Smart City Power Network by Shifting Electricity Consumers Demand." In Sustainable Smart Cities and Territories, 81–91. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78901-5_8.
Full textTalwariya, Akash, Santosh Kumar Sharama, Pushpendra Singh, and Mohan Kolhe. "Bayesian Game Model: Demand Side Management for Residential Consumers with Electric Vehicles." In Intelligent Computing Techniques for Smart Energy Systems, 815–23. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0214-9_86.
Full textHari Gupta, Om, Manoj Tripathy, and Vijay K. Sood. "Conclusion." In Protection Challenges in Meeting Increasing Electric Power Demand, 123–24. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60500-1_5.
Full textConference papers on the topic "Consumers' demand for electric power"
Wiley, J. Ken. "The Outlook for Electrical Power in Florida." In ASME 1991 Citrus Engineering Conference. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/cec1991-3703.
Full textHimelic, Jim B., and Frank Kreith. "Potential Benefits of Plug-In Hybrid Electric Vehicles for Consumers and Electric Power Utilities." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-66724.
Full textTomizawa, Masao, Keisuke Takeshita, Tatsuhiro Akita, Yoshiharu Amano, and Takumi Hashizume. "Study on Optimal Operational Planning of Advanced Co-Generation System in Consideration of Annual Demand Analysis." In ASME 2005 Power Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/pwr2005-50373.
Full textParvathy S, Nita R. Patne, and Ashok M. Jadhav. "A smart demand side management mechanism for domestic energy consumers with major HVAC load." In 2016 International Conference on Electrical Power and Energy Systems (ICEPES). IEEE, 2016. http://dx.doi.org/10.1109/icepes.2016.7915982.
Full textFavuzza, S., M. G. Ippolito, F. Massaro, E. R. Sanseverino, E. Telaretti, and G. Zizzo. "DEMAND Project: A Peak Load Shaving Strategy for End-User Consumers." In 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE, 2018. http://dx.doi.org/10.1109/eeeic.2018.8494595.
Full textSilva, Catia, Pedro Faria, and Zita Vale. "Finding the Trustworthy Consumers for Demand Response Events by Dealing With Uncertainty." In 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE, 2021. http://dx.doi.org/10.1109/eeeic/icpseurope51590.2021.9584667.
Full textHoffenson, Steven, and Marcin Wisniowski. "An Electricity Grid As an Agent-Based Market System: Exploring the Effects of Policy on Sustainability." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86031.
Full textMahr, Daniel. "Biomass Attributes, Handling, and Processing Issues for Large Power Plants." In ASME 2010 Power Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/power2010-27092.
Full textL’Heureux, Zara E., and Klaus S. Lackner. "Small Scale Energy Storage for Peak Demand Shaving." In ASME 2017 11th International Conference on Energy Sustainability collocated with the ASME 2017 Power Conference Joint With ICOPE-17, the ASME 2017 15th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2017 Nuclear Forum. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/es2017-3053.
Full textAdebiyi, G. A. "The Thermodynamics of Combined Electrical/Mechanical and Thermal Power Producing Systems." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-82277.
Full textReports on the topic "Consumers' demand for electric power"
Avis, William. Drivers, Barriers and Opportunities of E-waste Management in Africa. Institute of Development Studies (IDS), December 2021. http://dx.doi.org/10.19088/k4d.2022.016.
Full textHudson, Jr, D. V. Analysis of recent projections of electric power demand. Office of Scientific and Technical Information (OSTI), August 1993. http://dx.doi.org/10.2172/10120392.
Full textElectric power supply and demand for the contiguous United States, 1985-1994. Staff report. Office of Scientific and Technical Information (OSTI), May 1985. http://dx.doi.org/10.2172/5795393.
Full textDevelopment of an Adaptive Efficient Thermal/Electric Skipping Control Strategy Applied to a Parallel Plug-in Hybrid Electric Vehicle. SAE International, March 2022. http://dx.doi.org/10.4271/2022-01-0737.
Full text