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Residential implementation of critical-peak pricing of electricity

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  1. Moore, J. & Woo, C.K. & Horii, B. & Price, S. & Olson, A., 2010. "Estimating the option value of a non-firm electricity tariff," Energy, Elsevier, vol. 35(4), pages 1609-1614.
  2. Hara, Keishiro & Uwasu, Michinori & Kishita, Yusuke & Takeda, Hiroyuki, 2015. "Determinant factors of residential consumption and perception of energy conservation: Time-series analysis by large-scale questionnaire in Suita, Japan," Energy Policy, Elsevier, vol. 87(C), pages 240-249.
  3. Kakran, Sandeep & Chanana, Saurabh, 2018. "Smart operations of smart grids integrated with distributed generation: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 524-535.
  4. Makena Coffman & Paul Bernstein & Sherilyn Wee & Aida Arik, 2016. "Estimating the Opportunity for Load-Shifting in Hawaii: An Analysis of Proposed Residential Time-of-Use Rates," Working Papers 2016-10, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
  5. Rob Lawson & Paul Thorsnes & John Williams, 2011. "Consumer Response to Time Varying Prices for Electricity," Working Papers 1116, University of Otago, Department of Economics, revised Dec 2011.
  6. Brühl, Johanna & Smith, Grant & Visser, Martine, 2019. "Simple is good: Redesigning utility bills to reduce complexity and increase understanding," Utilities Policy, Elsevier, vol. 60(C), pages 1-1.
  7. Strengers, Yolande, 2012. "Peak electricity demand and social practice theories: Reframing the role of change agents in the energy sector," Energy Policy, Elsevier, vol. 44(C), pages 226-234.
  8. Tomasz Ząbkowski & Krzysztof Gajowniczek & Grzegorz Matejko & Jacek Brożyna & Grzegorz Mentel & Małgorzata Charytanowicz & Jolanta Jarnicka & Anna Olwert & Weronika Radziszewska, 2023. "Changing Electricity Tariff—An Empirical Analysis Based on Commercial Customers’ Data from Poland," Energies, MDPI, vol. 16(19), pages 1-17, September.
  9. Bae, Mungyu & Kim, Hwantae & Kim, Eugene & Chung, Albert Yongjoon & Kim, Hwangnam & Roh, Jae Hyung, 2014. "Toward electricity retail competition: Survey and case study on technical infrastructure for advanced electricity market system," Applied Energy, Elsevier, vol. 133(C), pages 252-273.
  10. 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.
  11. Katz, Jonas & Andersen, Frits Møller & Morthorst, Poul Erik, 2016. "Load-shift incentives for household demand response: Evaluation of hourly dynamic pricing and rebate schemes in a wind-based electricity system," Energy, Elsevier, vol. 115(P3), pages 1602-1616.
  12. 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).
  13. 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.
  14. Cheng, Rui & Tesfatsion, Leigh & Wang, Zhaoyu, 2021. "A Multiperiod Consensus-Based Transactive Energy System for Unbalanced Distribution Networks," ISU General Staff Papers 202104230700001126, Iowa State University, Department of Economics.
  15. Makena Coffman & Paul Bernstein & Derek Stenclik & Sherilyn Wee & Aida Arik, 2018. "Integrating Renewable Energy with Time Varying Pricing," Working Papers 2018-6, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
  16. Fumitoshi Mizutani & Takuro Tanaka & Eri Nakamura, 2015. "The Effect of Demand Response on Electricity Consumption in Japan," Discussion Papers 2015-02, Kobe University, Graduate School of Business Administration.
  17. da Fonseca, André L.A. & Chvatal, Karin M.S. & Fernandes, Ricardo A.S., 2021. "Thermal comfort maintenance in demand response programs: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
  18. Botelho, D.F. & de Oliveira, L.W. & Dias, B.H. & Soares, T.A. & Moraes, C.A., 2022. "Prosumer integration into the Brazilian energy sector: An overview of innovative business models and regulatory challenges," Energy Policy, Elsevier, vol. 161(C).
  19. Sung Chan Park & Young Gyu Jin & Yong Tae Yoon, 2015. "Designing a Profit-Maximizing Critical Peak Pricing Scheme Considering the Payback Phenomenon," Energies, MDPI, vol. 8(10), pages 1-17, October.
  20. Laura Mørch Andersen & Lars Gårn Hansen & Carsten Lynge Jensen & Frank A. Wolak, 2019. "Can Incentives to Increase Electricity Use Reduce the Cost of Integrating Renewable Resources," NBER Working Papers 25615, National Bureau of Economic Research, Inc.
  21. Buryk, Stephen & Mead, Doug & Mourato, Susana & Torriti, Jacopo, 2015. "Investigating preferences for dynamic electricity tariffs: The effect of environmental and system benefit disclosure," Energy Policy, Elsevier, vol. 80(C), pages 190-195.
  22. Takanori Ida & Wenjie Wang, 2014. "A Field Experiment on Dynamic Electricity Pricing in Los Alamos:Opt-in Versus Opt-out," Discussion papers e-14-010, Graduate School of Economics Project Center, Kyoto University.
  23. 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.
  24. 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.
  25. 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.
  26. Jerzy Andruszkiewicz & Józef Lorenc & Agnieszka Weychan, 2021. "Price-Based Demand Side Response Programs and Their Effectiveness on the Example of TOU Electricity Tariff for Residential Consumers," Energies, MDPI, vol. 14(2), pages 1-21, January.
  27. Park, S.C. & Jin, Y.G. & Song, H.Y. & Yoon, Y.T., 2015. "Designing a critical peak pricing scheme for the profit maximization objective considering price responsiveness of customers," Energy, Elsevier, vol. 83(C), pages 521-531.
  28. Broberg, Thomas & Persson, Lars, 2016. "Is our everyday comfort for sale? Preferences for demand management on the electricity market," Energy Economics, Elsevier, vol. 54(C), pages 24-32.
  29. Yang, Changhui & Meng, Chen & Zhou, Kaile, 2018. "Residential electricity pricing in China: The context of price-based demand response," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2870-2878.
  30. Nnaemeka Vincent Emodi & Scott Dwyer & Kriti Nagrath & John Alabi, 2022. "Electromobility in Australia: Tariff Design Structure and Consumer Preferences for Mobile Distributed Energy Storage," Sustainability, MDPI, vol. 14(11), pages 1-18, May.
  31. Ericson, Torgeir, 2011. "Households' self-selection of dynamic electricity tariffs," Applied Energy, Elsevier, vol. 88(7), pages 2541-2547, July.
  32. Herter, Karen & Wayland, Seth, 2010. "Residential response to critical-peak pricing of electricity: California evidence," Energy, Elsevier, vol. 35(4), pages 1561-1567.
  33. Jang, Dongsik & Eom, Jiyong & Jae Park, Min & Jeung Rho, Jae, 2016. "Variability of electricity load patterns and its effect on demand response: A critical peak pricing experiment on Korean commercial and industrial customers," Energy Policy, Elsevier, vol. 88(C), pages 11-26.
  34. Youssef, Heba & Kamel, Salah & Hassan, Mohamed H. & Nasrat, Loai, 2023. "Optimizing energy consumption patterns of smart home using a developed elite evolutionary strategy artificial ecosystem optimization algorithm," Energy, Elsevier, vol. 278(C).
  35. Oluwaseun Oladimeji & Álvaro Ortega & Lukas Sigrist & Luis Rouco & Pedro Sánchez-Martín & Enrique Lobato, 2022. "Optimal Participation of Heterogeneous, RES-Based Virtual Power Plants in Energy Markets," Energies, MDPI, vol. 15(9), pages 1-19, April.
  36. Behrangrad, Mahdi, 2015. "A review of demand side management business models in the electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 270-283.
  37. Monfared, Houman Jamshidi & Ghasemi, Ahmad & Loni, Abdolah & Marzband, Mousa, 2019. "A hybrid price-based demand response program for the residential micro-grid," Energy, Elsevier, vol. 185(C), pages 274-285.
  38. Adela Conchado & Pedro Linares, 2010. "The Economic Impact of Demand-Response Programs on Power Systems. A survey of the State of the Art," Working Papers 02-2010, Economics for Energy.
  39. Kamalanathan Ganesan & João Tomé Saraiva & Ricardo J. Bessa, 2019. "On the Use of Causality Inference in Designing Tariffs to Implement More Effective Behavioral Demand Response Programs," Energies, MDPI, vol. 12(14), pages 1-20, July.
  40. 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).
  41. Wang, Yong & Li, Lin, 2016. "Critical peak electricity pricing for sustainable manufacturing: Modeling and case studies," Applied Energy, Elsevier, vol. 175(C), pages 40-53.
  42. Darby, Sarah J., 2012. "Metering: EU policy and implications for fuel poor households," Energy Policy, Elsevier, vol. 49(C), pages 98-106.
  43. Ren'e Aid & Dylan Possamai & Nizar Touzi, 2018. "Optimal electricity demand response contracting with responsiveness incentives," Papers 1810.09063, arXiv.org, revised May 2019.
  44. Yang, Liu & Dong, Ciwei & Wan, C.L. Johnny & Ng, Chi To, 2013. "Electricity time-of-use tariff with consumer behavior consideration," International Journal of Production Economics, Elsevier, vol. 146(2), pages 402-410.
  45. Ibrahim Alotaibi & Mohammed A. Abido & Muhammad Khalid & Andrey V. Savkin, 2020. "A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources," Energies, MDPI, vol. 13(23), pages 1-41, November.
  46. Lee, Kyungeun & Lee, Hyesu & Lee, Hyoseop & Yoon, Yoonjin & Lee, Eunjung & Rhee, Wonjong, 2018. "Assuring explainability on demand response targeting via credit scoring," Energy, Elsevier, vol. 161(C), pages 670-679.
  47. Kayo MURAKAMI & Takanori IDA, 2019. "Deregulation and status quo bias: Evidence from stated and revealed switching behaviors in the electricity market in Japan," Discussion papers e-19-001, Graduate School of Economics , Kyoto University.
  48. Thanh Tam Ho & Sarana Shinkuma & Koji Shimada, 2018. "The Effects of Dynamic Pricing of Electric Power on Consumer Behavior: A Propensity Score Analysis for Empirical Study on Nushima Island, Japan," Energies, MDPI, vol. 11(8), pages 1-22, August.
  49. Ghasemi, Ahmad & Jamshidi Monfared, Houman & Loni, Abdolah & Marzband, Mousa, 2021. "CVaR-based retail electricity pricing in day-ahead scheduling of microgrids," Energy, Elsevier, vol. 227(C).
  50. Ahmad Faruqui & Sanem Sergici, 2010. "Household response to dynamic pricing of electricity: a survey of 15 experiments," Journal of Regulatory Economics, Springer, vol. 38(2), pages 193-225, October.
  51. Siano, Pierluigi, 2014. "Demand response and smart grids—A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 461-478.
  52. 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.
  53. Eri Nakamura & Fumitoshi Mizutani, 2019. "Necessary demand and extra demand of public utility product: identification using the stochastic frontier model," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(1), pages 45-64, March.
  54. He, Yongxiu & Wang, Bing & Wang, Jianhui & Xiong, Wei & Xia, Tian, 2012. "Residential demand response behavior analysis based on Monte Carlo simulation: The case of Yinchuan in China," Energy, Elsevier, vol. 47(1), pages 230-236.
  55. Yumi Yoshida & Kenta Tanaka & Shunsuke Managi, 2017. "Which dynamic pricing rule is most preferred by consumers?—Application of choice experiment," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 6(1), pages 1-11, December.
  56. Vallés, Mercedes & Bello, Antonio & Reneses, Javier & Frías, Pablo, 2018. "Probabilistic characterization of electricity consumer responsiveness to economic incentives," Applied Energy, Elsevier, vol. 216(C), pages 296-310.
  57. Kazutoshi Tsuda & Michinori Uwasu & Keishiro Hara & Yukari Fuchigami, 2017. "Approaches to induce behavioral changes with respect to electricity consumption," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 7(1), pages 30-38, March.
  58. Aidan Tuohy & Ben Kaun & Robert Entriken, 2014. "Storage and demand-side options for integrating wind power," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 3(1), pages 93-109, January.
  59. Andreas V. Stokke & Gerard L. Doorman & Torgeir Ericson, 2009. "An Analysis of a Demand Charge Electricity Grid Tariff in the Residential Sector," Discussion Papers 574, Statistics Norway, Research Department.
  60. Darby, Sarah J. & McKenna, Eoghan, 2012. "Social implications of residential demand response in cool temperate climates," Energy Policy, Elsevier, vol. 49(C), pages 759-769.
  61. Duy Phuc Le & Duong Minh Bui & Cao Cuong Ngo & Anh My Thi Le, 2018. "FLISR Approach for Smart Distribution Networks Using E-Terra Software—A Case Study," Energies, MDPI, vol. 11(12), pages 1-33, November.
  62. Higgins, Andrew & Grozev, George & Ren, Zhengen & Garner, Stephen & Walden, Glenn & Taylor, Michelle, 2014. "Modelling future uptake of distributed energy resources under alternative tariff structures," Energy, Elsevier, vol. 74(C), pages 455-463.
  63. Kenta TANAKA & Yukihide KURAKAWA & Takunori ISHIHARA & Ken-ichi AKAO & Takanori IDA, 2020. "Moral utility or Moral Tax? Experimental Study of Electricity Conservation by Social Comparison," Discussion papers e-19-011, Graduate School of Economics , Kyoto University.
  64. Thorsnes, Paul & Williams, John & Lawson, Rob, 2012. "Consumer responses to time varying prices for electricity," Energy Policy, Elsevier, vol. 49(C), pages 552-561.
  65. Hye Yoon Song & Gyu Sub Lee & Yong Tae Yoon, 2019. "Optimal Operation of Critical Peak Pricing for an Energy Retailer Considering Balancing Costs," Energies, MDPI, vol. 12(24), pages 1-20, December.
  66. Jesse Kaczmarski & Benjamin Jones & Janie Chermak, 2022. "Determinants of Demand Response Program Participation: Contingent Valuation Evidence from a Smart Thermostat Program," Energies, MDPI, vol. 15(2), pages 1-18, January.
  67. Woo, C.K. & Kollman, E. & Orans, R. & Price, S. & Horii, B., 2008. "Now that California has AMI, what can the state do with it?," Energy Policy, Elsevier, vol. 36(4), pages 1366-1374, April.
  68. Heshmati, Almas, 2012. "Survey of Models on Demand, Customer Base-Line and Demand Response and Their Relationships in the Power Market," IZA Discussion Papers 6637, Institute of Labor Economics (IZA).
  69. Carlos Cruz & Esther Palomar & Ignacio Bravo & Alfredo Gardel, 2020. "Cooperative Demand Response Framework for a Smart Community Targeting Renewables: Testbed Implementation and Performance Evaluation," Energies, MDPI, vol. 13(11), pages 1-20, June.
  70. Wang, Tian & Deng, Shiming, 2019. "Multi-Period energy procurement policies for smart-grid communities with deferrable demand and supplementary uncertain power supplies," Omega, Elsevier, vol. 89(C), pages 212-226.
  71. Rezaeimozafar, Mostafa & Monaghan, Rory F.D. & Barrett, Enda & Duffy, Maeve, 2022. "A review of behind-the-meter energy storage systems in smart grids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
  72. Wang, Xinlin & Wang, Hao & Ahn, Sung-Hoon, 2021. "Demand-side management for off-grid solar-powered microgrids: A case study of rural electrification in Tanzania," Energy, Elsevier, vol. 224(C).
  73. Rajesh Tyagi & Weiwei Chen & Jason Black & Prasoon Tiwari & Bernard Lecours & Jamison Shaver, 2017. "Transforming Electrical Load from an Operational Constraint to a Controllable Resource," Interfaces, INFORMS, vol. 47(4), pages 292-304, August.
  74. Xue, Xue & Wang, Shengwei & Yan, Chengchu & Cui, Borui, 2015. "A fast chiller power demand response control strategy for buildings connected to smart grid," Applied Energy, Elsevier, vol. 137(C), pages 77-87.
  75. Almas Heshmati, 2014. "Demand, Customer Base-Line And Demand Response In The Electricity Market: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 28(5), pages 862-888, December.
  76. Jimyung Kang & Soonwoo Lee, 2018. "Data-Driven Prediction of Load Curtailment in Incentive-Based Demand Response System," Energies, MDPI, vol. 11(11), pages 1-14, October.
  77. Sana Iqbal & Mohammad Sarfraz & Mohammad Ayyub & Mohd Tariq & Ripon K. Chakrabortty & Michael J. Ryan & Basem Alamri, 2021. "A Comprehensive Review on Residential Demand Side Management Strategies in Smart Grid Environment," Sustainability, MDPI, vol. 13(13), pages 1-23, June.
  78. Amit Shewale & Anil Mokhade & Nitesh Funde & Neeraj Dhanraj Bokde, 2022. "A Survey of Efficient Demand-Side Management Techniques for the Residential Appliance Scheduling Problem in Smart Homes," Energies, MDPI, vol. 15(8), pages 1-34, April.
  79. Kaufmann, Simon & Künzel, Karoline & Loock, Moritz, 2013. "Customer value of smart metering: Explorative evidence from a choice-based conjoint study in Switzerland," Energy Policy, Elsevier, vol. 53(C), pages 229-239.
  80. Jimyung Kang & Jee-Hyong Lee, 2017. "Data-Driven Optimization of Incentive-based Demand Response System with Uncertain Responses of Customers," Energies, MDPI, vol. 10(10), pages 1-17, October.
  81. Cl'emence Alasseur & Ivar Ekeland & Romuald Elie & Nicol'as Hern'andez Santib'a~nez & Dylan Possamai, 2017. "An adverse selection approach to power pricing," Papers 1706.01934, arXiv.org, revised Sep 2019.
  82. Newsham, Guy R. & Bowker, Brent G., 2010. "The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use: A review," Energy Policy, Elsevier, vol. 38(7), pages 3289-3296, July.
  83. Jaeyeong Yoo & Kyeon Hur, 2013. "Load Forecast Model Switching Scheme for Improved Robustnessto Changes in Building Energy Consumption Patterns," Energies, MDPI, vol. 6(3), pages 1-15, March.
  84. Incheol Shin, 2020. "Approximation Algorithm-Based Prosumer Scheduling for Microgrids," Energies, MDPI, vol. 13(21), pages 1-16, November.
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