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The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use: A review

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  1. Yilmaz, Selin & Chanez, Cédric & Cuony, Peter & Patel, Martin Kumar, 2022. "Analysing utility-based direct load control programmes for heat pumps and electric vehicles considering customer segmentation," Energy Policy, Elsevier, vol. 164(C).
  2. Woo, C.K. & Liu, Y. & Zarnikau, J. & Shiu, A. & Luo, X. & Kahrl, F., 2018. "Price elasticities of retail energy demands in the United States: New evidence from a panel of monthly data for 2001–2016," Applied Energy, Elsevier, vol. 222(C), pages 460-474.
  3. Öhrlund, Isak & Schultzberg, Mårten & Bartusch, Cajsa, 2019. "Identifying and estimating the effects of a mandatory billing demand charge," Applied Energy, Elsevier, vol. 237(C), pages 885-895.
  4. Jing Liang & Yueming Qiu & Bo Xing, 2021. "Social Versus Private Benefits of Energy Efficiency Under Time-of-Use and Increasing Block Pricing," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(1), pages 43-75, January.
  5. Dütschke, Elisabeth & Paetz, Alexandra-Gwyn, 2013. "Dynamic electricity pricing—Which programs do consumers prefer?," Energy Policy, Elsevier, vol. 59(C), pages 226-234.
  6. Odeh, Rodrigo Pérez & Watts, David, 2019. "Impacts of wind and solar spatial diversification on its market value: A case study of the Chilean electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 442-461.
  7. Eid, Cherrelle & Codani, Paul & Perez, Yannick & Reneses, Javier & Hakvoort, Rudi, 2016. "Managing electric flexibility from Distributed Energy Resources: A review of incentives for market design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 237-247.
  8. Pon, Shirley, 2015. "Effectiveness of Real Time Information Provision with Time of Use Pricing," FCN Working Papers 8/2015, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised Oct 2015.
  9. Nicole D. Sintov & P. Wesley Schultz, 2017. "Adjustable Green Defaults Can Help Make Smart Homes More Sustainable," Sustainability, MDPI, vol. 9(4), pages 1-12, April.
  10. Woo, C.K. & Shiu, A. & Liu, Y. & Luo, X. & Zarnikau, J., 2018. "Consumption effects of an electricity decarbonization policy: Hong Kong," Energy, Elsevier, vol. 144(C), pages 887-902.
  11. Yilmaz, Selin & Xu, Xiaojing & Cabrera, Daniel & Chanez, Cédric & Cuony, Peter & Patel, Martin K., 2020. "Analysis of demand-side response preferences regarding electricity tariffs and direct load control: Key findings from a Swiss survey," Energy, Elsevier, vol. 212(C).
  12. Khan, Ahsan Raza & Mahmood, Anzar & Safdar, Awais & Khan, Zafar A. & Khan, Naveed Ahmed, 2016. "Load forecasting, dynamic pricing and DSM in smart grid: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1311-1322.
  13. Justin Longo & Alan Rodney Dobell, 2018. "The Limits of Policy Analytics: Early Examples and the Emerging Boundary of Possibilities," Politics and Governance, Cogitatio Press, vol. 6(4), pages 5-17.
  14. Møller, Niels Framroze & Andersen, Laura Mørch & Hansen, Lars Gårn & Jensen, Carsten Lynge, 2019. "Can pecuniary and environmental incentives via SMS messaging make households adjust their electricity demand to a fluctuating production?," Energy Economics, Elsevier, vol. 80(C), pages 1050-1058.
  15. Ahmad Faruqui, Sanem Sergici, and Lamine Akaba, 2014. "The Impact of Dynamic Pricing on Residential and Small Commercial and Industrial Usage: New Experimental Evidence from Connecticut," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
  16. Bartusch, Cajsa & Juslin, Peter & Stikvoort, Britt & Yang-Wallentin, Fan & Öhrlund, Isak, 2024. "Opening the black box of demand response: Exploring the cognitive processes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
  17. El-Khattabi, Ahmed Rachid & Eskaf, Shadi & Isnard, Julien P. & Lin, Laurence & McManus, Brian & Yates, Andrew J., 2021. "Heterogeneous responses to price: Evidence from residential water consumers," Journal of Environmental Economics and Management, Elsevier, vol. 107(C).
  18. Gilbraith, Nathaniel & Powers, Susan E., 2013. "Residential demand response reduces air pollutant emissions on peak electricity demand days in New York City," Energy Policy, Elsevier, vol. 59(C), pages 459-469.
  19. Meyabadi, A. Fattahi & Deihimi, M.H., 2017. "A review of demand-side management: Reconsidering theoretical framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 367-379.
  20. Kim, Min-Jeong, 2017. "A field study using an adaptive in-house pricing model for commercial and industrial customers in Korea," Energy Policy, Elsevier, vol. 102(C), pages 189-198.
  21. Guang, Fengtao & He, Yongxiu & Wen, Le, 2019. "Impacts of hybrid time-varying tariffs on residential electricity demand: The case of Zhejiang Province," Utilities Policy, Elsevier, vol. 61(C).
  22. Schieweck, Alexandra & Uhde, Erik & Salthammer, Tunga & Salthammer, Lea C. & Morawska, Lidia & Mazaheri, Mandana & Kumar, Prashant, 2018. "Smart homes and the control of indoor air quality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 705-718.
  23. Chmielewski, Adrian & Gumiński, Robert & Mączak, Jędrzej & Radkowski, Stanisław & Szulim, Przemysław, 2016. "Aspects of balanced development of RES and distributed micro-cogeneration use in Poland: Case study of a µCHP with Stirling engine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 930-952.
  24. Cao, K.H. & Qi, H.S. & Li, R. & Woo, C.K. & Tishler, A. & Zarnikau, J., 2023. "An experiment in own-price elasticity estimation for non-residential electricity demand in the U.S," Utilities Policy, Elsevier, vol. 81(C).
  25. Eid, Cherrelle & Bollinger, L. Andrew & Koirala, Binod & Scholten, Daniel & Facchinetti, Emanuele & Lilliestam, Johan & Hakvoort, Rudi, 2016. "Market integration of local energy systems: Is local energy management compatible with European regulation for retail competition?," Energy, Elsevier, vol. 114(C), pages 913-922.
  26. Kazhamiaka, Fiodar & Jochem, Patrick & Keshav, Srinivasan & Rosenberg, Catherine, 2017. "On the influence of jurisdiction on the profitability of residential photovoltaic-storage systems: A multi-national case study," Energy Policy, Elsevier, vol. 109(C), pages 428-440.
  27. Yousefi, Shaghayegh & Moghaddam, Mohsen Parsa & Majd, Vahid Johari, 2011. "Optimal real time pricing in an agent-based retail market using a comprehensive demand response model," Energy, Elsevier, vol. 36(9), pages 5716-5727.
  28. Xu, Xiaojing & Chen, Chien-fei & Zhu, Xiaojuan & Hu, Qinran, 2018. "Promoting acceptance of direct load control programs in the United States: Financial incentive versus control option," Energy, Elsevier, vol. 147(C), pages 1278-1287.
  29. Carroll, James & Lyons, Seán & Denny, Eleanor, 2014. "Reducing household electricity demand through smart metering: The role of improved information about energy saving," Energy Economics, Elsevier, vol. 45(C), pages 234-243.
  30. Rajavelu Dharani & Madasamy Balasubramonian & Thanikanti Sudhakar Babu & Benedetto Nastasi, 2021. "Load Shifting and Peak Clipping for Reducing Energy Consumption in an Indian University Campus," Energies, MDPI, vol. 14(3), pages 1-16, January.
  31. Okur, Özge & Heijnen, Petra & Lukszo, Zofia, 2021. "Aggregator’s business models in residential and service sectors: A review of operational and financial aspects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
  32. Delmas, Magali A. & Fischlein, Miriam & Asensio, Omar I., 2013. "Information strategies and energy conservation behavior: A meta-analysis of experimental studies from 1975 to 2012," Energy Policy, Elsevier, vol. 61(C), pages 729-739.
  33. Steele Santos, Paulo E. & Coradi Leme, Rafael & Galvão, Leandro, 2012. "On the electrical two-part tariff—The Brazilian perspective," Energy Policy, Elsevier, vol. 40(C), pages 123-130.
  34. Qiu, Yueming & Colson, Gregory & Wetzstein, Michael E., 2017. "Risk preference and adverse selection for participation in time-of-use electricity pricing programs," Resource and Energy Economics, Elsevier, vol. 47(C), pages 126-142.
  35. Christoph Flath & David Nicolay & Tobias Conte & Clemens Dinther & Lilia Filipova-Neumann, 2012. "Cluster Analysis of Smart Metering Data," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 4(1), pages 31-39, February.
  36. Shirley Pon, 2017. "The Effect of Information on TOU Electricity Use: an Irish residential study," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
  37. Miller, Reid & Golab, Lukasz & Rosenberg, Catherine, 2017. "Modelling weather effects for impact analysis of residential time-of-use electricity pricing," Energy Policy, Elsevier, vol. 105(C), pages 534-546.
  38. Woo, C.K. & Milstein, I. & Tishler, A. & Zarnikau, J., 2019. "A wholesale electricity market design sans missing money and price manipulation," Energy Policy, Elsevier, vol. 134(C).
  39. Cédric Clastres & Olivier Rebenaque & Patrick Jochem, 2020. "Provision of Demand Response from the prosumers in multiple markets," Working Papers 2008, Chaire Economie du climat.
  40. Celik, Berk & Roche, Robin & Suryanarayanan, Siddharth & Bouquain, David & Miraoui, Abdellatif, 2017. "Electric energy management in residential areas through coordination of multiple smart homes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 260-275.
  41. Andrew Blohm & Jaden Crawford & Steven A. Gabriel, 2021. "Demand Response as a Real-Time, Physical Hedge for Retail Electricity Providers: The Electric Reliability Council of Texas Market Case Study," Energies, MDPI, vol. 14(4), pages 1-16, February.
  42. Antal-Pomázi, Krisztina, 2020. "A differenciált árazással kapcsolatos ösztönzőkről [Incentives related to differential pricing]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 244-262.
  43. Lang, Corey & Okwelum, Edson, 2015. "The mitigating effect of strategic behavior on the net benefits of a direct load control program," Energy Economics, Elsevier, vol. 49(C), pages 141-148.
  44. Christoph M. Flath & Jens P. Ilg & Sebastian Gottwalt & Hartmut Schmeck & Christof Weinhardt, 2014. "Improving Electric Vehicle Charging Coordination Through Area Pricing," Transportation Science, INFORMS, vol. 48(4), pages 619-634, November.
  45. Ricci, Elena Claire & Banterle, Alessandro, 2020. "Do major climate change-related public events have an impact on consumer choices?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 126(C).
  46. Kang, J. & Reiner, D., 2021. "Machine Learning on residential electricity consumption: Which households are more responsive to weather?," Cambridge Working Papers in Economics 2142, Faculty of Economics, University of Cambridge.
  47. Kang, Jieyi & Reiner, David M., 2022. "What is the effect of weather on household electricity consumption? Empirical evidence from Ireland," Energy Economics, Elsevier, vol. 111(C).
  48. Wong, Pui Ting & Rau, Henrike, 2023. "Time of Use tariffs, childcare and everyday temporalities in the US and China: Evidence from time-use and sequence-network analysis," Energy Policy, Elsevier, vol. 172(C).
  49. Sridhar, Araavind & Honkapuro, Samuli & Ruiz, Fredy & Stoklasa, Jan & Annala, Salla & Wolff, Annika & Rautiainen, Antti, 2023. "Residential consumer preferences to demand response: Analysis of different motivators to enroll in direct load control demand response," Energy Policy, Elsevier, vol. 173(C).
  50. Wang, Fei & Lu, Xiaoxing & Chang, Xiqiang & Cao, Xin & Yan, Siqing & Li, Kangping & Duić, Neven & Shafie-khah, Miadreza & Catalão, João P.S., 2022. "Household profile identification for behavioral demand response: A semi-supervised learning approach using smart meter data," Energy, Elsevier, vol. 238(PB).
  51. Khan, Aftab Ahmed & Razzaq, Sohail & Khan, Asadullah & Khursheed, Fatima & Owais,, 2015. "HEMSs and enabled demand response in electricity market: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 773-785.
  52. Laurie Buys & Desley Vine & Gerard Ledwich & John Bell & Kerrie Mengersen & Peter Morris & Jim Lewis, 2015. "A Framework for Understanding and Generating Integrated Solutions for Residential Peak Energy Demand," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-20, March.
  53. Nakada, Tatsuhiro & Shin, Kongjoo & Managi, Shunsuke, 2016. "The effect of demand response on purchase intention of distributed generation: Evidence from Japan," Energy Policy, Elsevier, vol. 94(C), pages 307-316.
  54. Yunusov, Timur & Torriti, Jacopo, 2021. "Distributional effects of Time of Use tariffs based on electricity demand and time use," Energy Policy, Elsevier, vol. 156(C).
  55. Klaassen, E.A.M. & Kobus, C.B.A. & Frunt, J. & Slootweg, J.G., 2016. "Responsiveness of residential electricity demand to dynamic tariffs: Experiences from a large field test in the Netherlands," Applied Energy, Elsevier, vol. 183(C), pages 1065-1074.
  56. Sridhar, Araavind & Honkapuro, Samuli & Ruiz, Fredy & Stoklasa, Jan & Annala, Salla & Wolff, Annika & Rautiainen, Antti, 2023. "Toward residential flexibility—Consumer willingness to enroll household loads in demand response," Applied Energy, Elsevier, vol. 342(C).
  57. Li, Na & Hakvoort, Rudi A. & Lukszo, Zofia, 2021. "Cost allocation in integrated community energy systems - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
  58. Drews, Stefan & Exadaktylos, Filippos & van den Bergh, Jeroen C.J.M., 2020. "Assessing synergy of incentives and nudges in the energy policy mix," Energy Policy, Elsevier, vol. 144(C).
  59. Bing Wang & Qiran Cai & Zhenming Sun, 2020. "Determinants of Willingness to Participate in Urban Incentive-Based Energy Demand-Side Response: An Empirical Micro-Data Analysis," Sustainability, MDPI, vol. 12(19), pages 1-18, September.
  60. Adil Amin & Wajahat Ullah Khan Tareen & Muhammad Usman & Haider Ali & Inam Bari & Ben Horan & Saad Mekhilef & Muhammad Asif & Saeed Ahmed & Anzar Mahmood, 2020. "A Review of Optimal Charging Strategy for Electric Vehicles under Dynamic Pricing Schemes in the Distribution Charging Network," Sustainability, MDPI, vol. 12(23), pages 1-28, December.
  61. Yueming Qiu & Loren Kirkeide & Yi David Wang, 2018. "Effects of Voluntary Time-of-Use Pricing on Summer Electricity Usage of Business Customers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(2), pages 417-440, February.
  62. Layer, Patrick & Feurer, Sven & Jochem, Patrick, 2017. "Perceived price complexity of dynamic energy tariffs: An investigation of antecedents and consequences," Energy Policy, Elsevier, vol. 106(C), pages 244-254.
  63. Guo, Peiyang & Lam, Jacqueline C.K. & Li, Victor O.K., 2019. "Drivers of domestic electricity users’ price responsiveness: A novel machine learning approach," Applied Energy, Elsevier, vol. 235(C), pages 900-913.
  64. El Gohary, Fouad & Stikvoort, Britt & Bartusch, Cajsa, 2023. "Evaluating demand charges as instruments for managing peak-demand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
  65. Gerardo J. Osório & Miadreza Shafie-khah & Gonçalo C. R. Carvalho & João P. S. Catalão, 2019. "Analysis Application of Controllable Load Appliances Management in a Smart Home," Energies, MDPI, vol. 12(19), pages 1-24, September.
  66. Ren, Zhengen & Grozev, George & Higgins, Andrew, 2016. "Modelling impact of PV battery systems on energy consumption and bill savings of Australian houses under alternative tariff structures," Renewable Energy, Elsevier, vol. 89(C), pages 317-330.
  67. Faris Adnan Padhilah & Kyeong-Hwa Kim, 2020. "A Power Flow Control Strategy for Hybrid Control Architecture of DC Microgrid under Unreliable Grid Connection Considering Electricity Price Constraint," Sustainability, MDPI, vol. 12(18), pages 1-28, September.
  68. Chen, Victor L. & Delmas, Magali A. & Locke, Stephen L. & Singh, Amarjeet, 2017. "Information strategies for energy conservation: A field experiment in India," Energy Economics, Elsevier, vol. 68(C), pages 215-227.
  69. Hannah Villeneuve & Ahmed Abdeen & Maya Papineau & Sharane Simon & Cynthia Cruickshank & William O'Brien, 2020. "New insights on the energy impacts of telework," Carleton Economic Papers 20-20, Carleton University, Department of Economics.
  70. Li, Raymond & Woo, Chi-Keung & Cox, Kevin, 2021. "How price-responsive is residential retail electricity demand in the US?," Energy, Elsevier, vol. 232(C).
  71. Calver, Philippa & Simcock, Neil, 2021. "Demand response and energy justice: A critical overview of ethical risks and opportunities within digital, decentralised, and decarbonised futures," Energy Policy, Elsevier, vol. 151(C).
  72. Stenner, Karen & Frederiks, Elisha R. & Hobman, Elizabeth V. & Cook, Stephanie, 2017. "Willingness to participate in direct load control: The role of consumer distrust," Applied Energy, Elsevier, vol. 189(C), pages 76-88.
  73. Zheng, Menglian & Meinrenken, Christoph J. & Lackner, Klaus S., 2014. "Agent-based model for electricity consumption and storage to evaluate economic viability of tariff arbitrage for residential sector demand response," Applied Energy, Elsevier, vol. 126(C), pages 297-306.
  74. Yang, So Young & Woo, JongRoul & Lee, Wonjong, 2024. "Assessing optimized time-of-use pricing for electric vehicle charging in deep vehicle-grid integration system," Energy Economics, Elsevier, vol. 138(C).
  75. Torriti, Jacopo, 2012. "Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy," Energy, Elsevier, vol. 44(1), pages 576-583.
  76. Ren'e Aid & Dylan Possamai & Nizar Touzi, 2018. "Optimal electricity demand response contracting with responsiveness incentives," Papers 1810.09063, arXiv.org, revised May 2019.
  77. Nicolson, Moira L. & Fell, Michael J. & Huebner, Gesche M., 2018. "Consumer demand for time of use electricity tariffs: A systematized review of the empirical evidence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 276-289.
  78. Hughes, Larry, 2015. "The effects of event occurrence and duration on resilience and adaptation in energy systems," Energy, Elsevier, vol. 84(C), pages 443-454.
  79. Sridhar, Araavind & Honkapuro, Samuli & Ruiz, Fredy & Stoklasa, Jan & Annala, Salla & Wolff, Annika, 2024. "Residential consumer enrollment in demand response: An agent based approach," Applied Energy, Elsevier, vol. 374(C).
  80. Durillon, Benoit & Bossu, Adrien, 2024. "Environmental assessment of smart energy management systems at distribution level — A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).
  81. Antonello Rosato & Rodolfo Araneo & Amedeo Andreotti & Federico Succetti & Massimo Panella, 2021. "2-D Convolutional Deep Neural Network for the Multivariate Prediction of Photovoltaic Time Series," Energies, MDPI, vol. 14(9), pages 1-18, April.
  82. Yong, Jin Yi & Tan, Wen Shan & Khorasany, Mohsen & Razzaghi, Reza, 2023. "Electric vehicles destination charging: An overview of charging tariffs, business models and coordination strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
  83. Weis, Allison & Jaramillo, Paulina & Michalek, Jeremy, 2014. "Estimating the potential of controlled plug-in hybrid electric vehicle charging to reduce operational and capacity expansion costs for electric power systems with high wind penetration," Applied Energy, Elsevier, vol. 115(C), pages 190-204.
  84. Woo, C.K. & Sreedharan, P. & Hargreaves, J. & Kahrl, F. & Wang, J. & Horowitz, I., 2014. "A review of electricity product differentiation," Applied Energy, Elsevier, vol. 114(C), pages 262-272.
  85. Hiroko Okajima & Shigeharu Okajima & Kenji Takeuchi, 2019. "Corporate responses to public pressures and price increases:Evidence from Japan's electricity crisis," Discussion Papers 1908, Graduate School of Economics, Kobe University.
  86. Francesco Liberati & Alessandro Di Giorgio, 2017. "Economic Model Predictive and Feedback Control of a Smart Grid Prosumer Node," Energies, MDPI, vol. 11(1), pages 1-23, December.
  87. Bradley, Peter & Coke, Alexia & Leach, Matthew, 2016. "Financial incentive approaches for reducing peak electricity demand, experience from pilot trials with a UK energy provider," Energy Policy, Elsevier, vol. 98(C), pages 108-120.
  88. Gill, Carrie & Lang, Corey, 2018. "Learn to conserve: The effects of in-school energy education on at-home electricity consumption," Energy Policy, Elsevier, vol. 118(C), pages 88-96.
  89. Lorraine Conway & David Prentice, 2020. "How Much do Households Respond to Electricity Prices? Evidence from Australia and Abroad," Economic Papers, The Economic Society of Australia, vol. 39(3), pages 290-311, September.
  90. Torriti, Jacopo, 2012. "Demand Side Management for the European Supergrid: Occupancy variances of European single-person households," Energy Policy, Elsevier, vol. 44(C), pages 199-206.
  91. Kwon, Sanguk & Cho, Seong-Hoon & Roberts, Roland K. & Kim, Hyun Jae & Park, Kihyun & Edward Yu, T., 2016. "Effects of electricity-price policy on electricity demand and manufacturing output," Energy, Elsevier, vol. 102(C), pages 324-334.
  92. M. Hardmeier & A. Berthold & M. Siegrist, 2024. "Factors Influencing People’s Willingness to Shift Their Electricity Consumption," Journal of Consumer Policy, Springer, vol. 47(2), pages 199-221, June.
  93. Woo, C.K. & Li, R. & Shiu, A. & Horowitz, I., 2013. "Residential winter kWh responsiveness under optional time-varying pricing in British Columbia," Applied Energy, Elsevier, vol. 108(C), pages 288-297.
  94. Di Giorgio, Alessandro & Pimpinella, Laura, 2012. "An event driven Smart Home Controller enabling consumer economic saving and automated Demand Side Management," Applied Energy, Elsevier, vol. 96(C), pages 92-103.
  95. Newsham, Guy R. & Birt, Benjamin J. & Rowlands, Ian H., 2011. "A comparison of four methods to evaluate the effect of a utility residential air-conditioner load control program on peak electricity use," Energy Policy, Elsevier, vol. 39(10), pages 6376-6389, October.
  96. Alireza Talaei & Katherine Begg & Tooraj Jamasb, 2012. "The Large Scale Roll-Out of Electric Vehicles: The Effect on the Electricity Sector and CO2 Emissions," Working Papers EPRG 1222, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
  97. Amir A. Imam & Yusuf A. Al-Turki & Sreerama Kumar R., 2019. "Techno-Economic Feasibility Assessment of Grid-Connected PV Systems for Residential Buildings in Saudi Arabia—A Case Study," Sustainability, MDPI, vol. 12(1), pages 1-25, December.
  98. Nijhuis, M. & Gibescu, M. & Cobben, J.F.G., 2017. "Analysis of reflectivity & predictability of electricity network tariff structures for household consumers," Energy Policy, Elsevier, vol. 109(C), pages 631-641.
  99. Jacopo Torriti, 2022. "Household electricity demand, the intrinsic flexibility index and UK wholesale electricity market prices," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(1), pages 7-27, January.
  100. Ussama Assad & Muhammad Arshad Shehzad Hassan & Umar Farooq & Asif Kabir & Muhammad Zeeshan Khan & S. Sabahat H. Bukhari & Zain ul Abidin Jaffri & Judit Oláh & József Popp, 2022. "Smart Grid, Demand Response and Optimization: A Critical Review of Computational Methods," Energies, MDPI, vol. 15(6), pages 1-36, March.
  101. Liepold, Constanze & Fabianek, Paul & Madlener, Reinhard, 2023. "A Multi-Criteria Assessment Framework for Direct Load Control in Residential Buildings from an Occupants’ Perspective," FCN Working Papers 15/2023, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
  102. Zhang, Yao & Chen, Wei & Gao, Weijun, 2017. "A survey on the development status and challenges of smart grids in main driver countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 137-147.
  103. Qingyou Yan & Xingbei Ai & Jinmeng Li, 2021. "Low-Carbon Economic Dispatch Based on a CCPP-P2G Virtual Power Plant Considering Carbon Trading and Green Certificates," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
  104. Cao, K.H. & Qi, H.S. & Tsai, C.H. & Woo, C.K. & Zarnikau, J., 2021. "Energy trading efficiency in the US Midcontinent electricity markets," Applied Energy, Elsevier, vol. 302(C).
  105. Nilsson, Anders & Bartusch, Cajsa, 2024. "Empowered or enchained? Exploring consumer perspectives on Direct Load Control," Energy Policy, Elsevier, vol. 192(C).
  106. Stikvoort, Britt & El Gohary, Fouad & Nilsson, Anders & Bartusch, Cajsa, 2024. "Serving two masters – How dual price signals can undermine demand flexibility," Energy Policy, Elsevier, vol. 185(C).
  107. Dlamini, Ndumiso G. & Cromieres, Fabien, 2012. "Implementing peak load reduction algorithms for household electrical appliances," Energy Policy, Elsevier, vol. 44(C), pages 280-290.
  108. Eid, Cherrelle & Koliou, Elta & Valles, Mercedes & Reneses, Javier & Hakvoort, Rudi, 2016. "Time-based pricing and electricity demand response: Existing barriers and next steps," Utilities Policy, Elsevier, vol. 40(C), pages 15-25.
  109. Bartusch, Cajsa & Alvehag, Karin, 2014. "Further exploring the potential of residential demand response programs in electricity distribution," Applied Energy, Elsevier, vol. 125(C), pages 39-59.
  110. Elma, Onur & Taşcıkaraoğlu, Akın & Tahir İnce, A. & Selamoğulları, Uğur S., 2017. "Implementation of a dynamic energy management system using real time pricing and local renewable energy generation forecasts," Energy, Elsevier, vol. 134(C), pages 206-220.
  111. Kobus, Charlotte B.A. & Klaassen, Elke A.M. & Mugge, Ruth & Schoormans, Jan P.L., 2015. "A real-life assessment on the effect of smart appliances for shifting households’ electricity demand," Applied Energy, Elsevier, vol. 147(C), pages 335-343.
  112. Friedman, Lee S., 2011. "The importance of marginal cost electricity pricing to the success of greenhouse gas reduction programs," Energy Policy, Elsevier, vol. 39(11), pages 7347-7360.
  113. Sigauke, Caston & Verster, Andréhette & Chikobvu, Delson, 2013. "Extreme daily increases in peak electricity demand: Tail-quantile estimation," Energy Policy, Elsevier, vol. 53(C), pages 90-96.
  114. Niels Framroze Møller & Laura Mørch Andersen & Lars Gårn Hansen & Carsten Lynge Jensen, 2018. "Can pecuniary and environmental incentives via SMS messaging make households adjust their intra-day electricity demand to a fluctuating production?," IFRO Working Paper 2018/06, University of Copenhagen, Department of Food and Resource Economics.
  115. Soares, Ana & Gomes, Álvaro & Antunes, Carlos Henggeler, 2014. "Categorization of residential electricity consumption as a basis for the assessment of the impacts of demand response actions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 490-503.
  116. Ahmadi-Karvigh, Simin & Ghahramani, Ali & Becerik-Gerber, Burcin & Soibelman, Lucio, 2018. "Real-time activity recognition for energy efficiency in buildings," Applied Energy, Elsevier, vol. 211(C), pages 146-160.
  117. James Carroll & Se n Lyons & Eleanor Denny, 2013. "Reducing Electricity Demand through Smart Metering: The Role of Improved Household Knowledge," Trinity Economics Papers tep0313, Trinity College Dublin, Department of Economics.
  118. Nikolas Schöne & Kathrin Greilmeier & Boris Heinz, 2022. "Survey-Based Assessment of the Preferences in Residential Demand Response on the Island of Mayotte," Energies, MDPI, vol. 15(4), pages 1-30, February.
  119. Yu, Yihua & Guo, Jin, 2016. "Identifying electricity-saving potential in rural China: Empirical evidence from a household survey," Energy Policy, Elsevier, vol. 94(C), pages 1-9.
  120. Förster, Robert & Harding, Sebastian & Buhl, Hans Ulrich, 2024. "Unleashing the economic and ecological potential of energy flexibility: Attractiveness of real-time electricity tariffs in energy crises," Energy Policy, Elsevier, vol. 185(C).
  121. Pepermans, Guido, 2014. "Valuing smart meters," Energy Economics, Elsevier, vol. 45(C), pages 280-294.
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