IDEAS home Printed from https://ideas.repec.org/r/eee/energy/v35y2010i4p1526-1535.html
   My bibliography  Save this item

Demand response in U.S. electricity markets: Empirical evidence

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Li, Lanlan & Gong, Chengzhu & Wang, Deyun & Zhu, Kejun, 2013. "Multi-agent simulation of the time-of-use pricing policy in an urban natural gas pipeline network: A case study of Zhengzhou," Energy, Elsevier, vol. 52(C), pages 37-43.
  2. Hajibandeh, Neda & Shafie-khah, Miadreza & Osório, Gerardo J. & Aghaei, Jamshid & Catalão, João P.S., 2018. "A heuristic multi-objective multi-criteria demand response planning in a system with high penetration of wind power generators," Applied Energy, Elsevier, vol. 212(C), pages 721-732.
  3. Hasani, Masoud & Hosseini, Seyed Hamid, 2011. "Dynamic assessment of capacity investment in electricity market considering complementary capacity mechanisms," Energy, Elsevier, vol. 36(1), pages 277-293.
  4. Partovi, Farzad & Nikzad, Mehdi & Mozafari, Babak & Ranjbar, Ali Mohamad, 2011. "A stochastic security approach to energy and spinning reserve scheduling considering demand response program," Energy, Elsevier, vol. 36(5), pages 3130-3137.
  5. Khanna, Tarun M., 2022. "Using agricultural demand for reducing costs of renewable energy integration in India," Energy, Elsevier, vol. 254(PC).
  6. Shariatzadeh, Farshid & Mandal, Paras & Srivastava, Anurag K., 2015. "Demand response for sustainable energy systems: A review, application and implementation strategy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 343-350.
  7. O’Reilly, Ryan & Cohen, Jed & Reichl, Johannes, 2024. "Achievable load shifting potentials for the European residential sector from 2022–2050," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
  8. Kubli, Merla & Loock, Moritz & Wüstenhagen, Rolf, 2018. "The flexible prosumer: Measuring the willingness to co-create distributed flexibility," Energy Policy, Elsevier, vol. 114(C), pages 540-548.
  9. Märkle-Huß, Joscha & Feuerriegel, Stefan & Neumann, Dirk, 2018. "Large-scale demand response and its implications for spot prices, load and policies: Insights from the German-Austrian electricity market," Applied Energy, Elsevier, vol. 210(C), pages 1290-1298.
  10. Wang, Fei & Xu, Hanchen & Xu, Ti & Li, Kangping & Shafie-khah, Miadreza & Catalão, João. P.S., 2017. "The values of market-based demand response on improving power system reliability under extreme circumstances," Applied Energy, Elsevier, vol. 193(C), pages 220-231.
  11. Nikzad, Mehdi & Mozafari, Babak & Bashirvand, Mahdi & Solaymani, Soodabeh & Ranjbar, Ali Mohamad, 2012. "Designing time-of-use program based on stochastic security constrained unit commitment considering reliability index," Energy, Elsevier, vol. 41(1), pages 541-548.
  12. Dong, Jun & Xue, Guiyuan & Li, Rong, 2016. "Demand response in China: Regulations, pilot projects and recommendations – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 13-27.
  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. Zheng, Yingying & Jenkins, Bryan M. & Kornbluth, Kurt & Kendall, Alissa & Træholt, Chresten, 2018. "Optimization of a biomass-integrated renewable energy microgrid with demand side management under uncertainty," Applied Energy, Elsevier, vol. 230(C), pages 836-844.
  15. 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.
  16. Liu, Yingqi, 2017. "Demand response and energy efficiency in the capacity resource procurement: Case studies of forward capacity markets in ISO New England, PJM and Great Britain," Energy Policy, Elsevier, vol. 100(C), pages 271-282.
  17. Tahir, Muhammad Faizan & Chen, Haoyong & Khan, Asad & Javed, Muhammad Sufyan & Cheema, Khalid Mehmood & Laraik, Noman Ali, 2020. "Significance of demand response in light of current pilot projects in China and devising a problem solution for future advancements," Technology in Society, Elsevier, vol. 63(C).
  18. Y, Kiguchi & Y, Heo & M, Weeks & R, Choudhary, 2019. "Predicting intra-day load profiles under time-of-use tariffs using smart meter data," Energy, Elsevier, vol. 173(C), pages 959-970.
  19. Nur Mohammad & Yateendra Mishra, 2018. "The Role of Demand Response Aggregators and the Effect of GenCos Strategic Bidding on the Flexibility of Demand," Energies, MDPI, vol. 11(12), pages 1-22, November.
  20. Mahmoudi, Nadali & Saha, Tapan K. & Eghbal, Mehdi, 2014. "Modelling demand response aggregator behavior in wind power offering strategies," Applied Energy, Elsevier, vol. 133(C), pages 347-355.
  21. Ottesen, Stig Odegaard & Tomasgard, Asgeir, 2015. "A stochastic model for scheduling energy flexibility in buildings," Energy, Elsevier, vol. 88(C), pages 364-376.
  22. 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.
  23. Mohsen Davoodi & Hamed Jafari Kaleybar & Morris Brenna & Dario Zaninelli, 2023. "Energy Management Systems for Smart Electric Railway Networks: A Methodological Review," Sustainability, MDPI, vol. 15(16), pages 1-35, August.
  24. Sun, Mei & Li, Juan & Gao, Cuixia & Han, Dun, 2017. "Identifying regime shifts in the US electricity market based on price fluctuations," Applied Energy, Elsevier, vol. 194(C), pages 658-666.
  25. Štefan Bojnec & Alan Križaj, 2021. "Electricity Markets during the Liberalization: The Case of a European Union Country," Energies, MDPI, vol. 14(14), pages 1-21, July.
  26. 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.
  27. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
  28. John García Rendón & Dalia Patino Echeverri & Manuel Correa Giraldo, 2019. "Integration of non-conventional renewable energy sources and smart grids in the United States: evidence from PJM," Documentos de Trabajo de Valor Público 17785, Universidad EAFIT.
  29. Wai Choi & Anindya Sen & Adam White, 2011. "Response of industrial customers to hourly pricing in Ontario’s deregulated electricity market," Journal of Regulatory Economics, Springer, vol. 40(3), pages 303-323, December.
  30. 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).
  31. Wang, Xiaonan & El-Farra, Nael H. & Palazoglu, Ahmet, 2017. "Optimal scheduling of demand responsive industrial production with hybrid renewable energy systems," Renewable Energy, Elsevier, vol. 100(C), pages 53-64.
  32. Yazhou Jiang & Chen-Ching Liu & Yin Xu, 2016. "Smart Distribution Systems," Energies, MDPI, vol. 9(4), pages 1-20, April.
  33. Bryan K. Bollinger & Wesley R. Hartmann, 2020. "Information vs. Automation and Implications for Dynamic Pricing," Management Science, INFORMS, vol. 66(1), pages 290-314, January.
  34. 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.
  35. Luo, Zhe & Hong, SeungHo & Ding, YueMin, 2019. "A data mining-driven incentive-based demand response scheme for a virtual power plant," Applied Energy, Elsevier, vol. 239(C), pages 549-559.
  36. Koliou, Elta & Eid, Cherrelle & Chaves-Ávila, José Pablo & Hakvoort, Rudi A., 2014. "Demand response in liberalized electricity markets: Analysis of aggregated load participation in the German balancing mechanism," Energy, Elsevier, vol. 71(C), pages 245-254.
  37. Gong, Xuan & De Paola, Antonio & Angeli, David & Strbac, Goran, 2019. "A game-theoretic approach for price-based coordination of flexible devices operating in integrated energy-reserve markets," Energy, Elsevier, vol. 189(C).
  38. Derya Eryilmaz, Timothy M. Smith, and Frances R. Homans, 2017. "Price Responsiveness in Electricity Markets: Implications for Demand Response in the Midwest," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
  39. Silva, Hendrigo Batista da & Santiago, Leonardo P., 2018. "On the trade-off between real-time pricing and the social acceptability costs of demand response," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1513-1521.
  40. Jiang, Bo & Farid, Amro M. & Youcef-Toumi, Kamal, 2015. "Demand side management in a day-ahead wholesale market: A comparison of industrial & social welfare approaches," Applied Energy, Elsevier, vol. 156(C), pages 642-654.
  41. Deetjen, Thomas A. & Rhodes, Joshua D. & Webber, Michael E., 2017. "The impacts of wind and solar on grid flexibility requirements in the Electric Reliability Council of Texas," Energy, Elsevier, vol. 123(C), pages 637-654.
  42. Ensslen, Axel & Ringler, Philipp & Dörr, Lasse & Jochem, Patrick & Zimmermann, Florian & Fichtner, Wolf, 2018. "Incentivizing smart charging: Modeling charging tariffs for electric vehicles in German and French electricity markets," MPRA Paper 91543, University Library of Munich, Germany, revised 17 Feb 2018.
  43. Wang, Yong & Li, Lin, 2015. "Time-of-use electricity pricing for industrial customers: A survey of U.S. utilities," Applied Energy, Elsevier, vol. 149(C), pages 89-103.
  44. Mordue, Greig, 2017. "Electricity prices and industrial competitiveness: A case study of final assembly automobile manufacturing in the United States and Canada," Energy Policy, Elsevier, vol. 111(C), pages 32-40.
  45. Guo, Peiyang & Li, Victor O.K. & Lam, Jacqueline C.K., 2017. "Smart demand response in China: Challenges and drivers," Energy Policy, Elsevier, vol. 107(C), pages 1-10.
  46. Kim, H.J. & Kim, M.K., 2023. "A novel deep learning-based forecasting model optimized by heuristic algorithm for energy management of microgrid," Applied Energy, Elsevier, vol. 332(C).
  47. Nafisi, Amin & Arababadi, Reza & Moazami, Amin & Mahapatra, Krushna, 2022. "Economic and emission analysis of running emergency generators in the presence of demand response programs," Energy, Elsevier, vol. 255(C).
  48. Kirchem, Dana & Lynch, Muireann Á. & Bertsch, Valentin & Casey, Eoin, 2020. "Modelling demand response with process models and energy systems models: Potential applications for wastewater treatment within the energy-water nexus," Applied Energy, Elsevier, vol. 260(C).
  49. Gao, Xiang & Chan, Ka Wing & Xia, Shiwei & Zhou, Bin & Lu, Xi & Xu, Da, 2019. "Risk-constrained offering strategy for a hybrid power plant consisting of wind power producer and electric vehicle aggregator," Energy, Elsevier, vol. 177(C), pages 183-191.
  50. Ran, Fengming & Gao, Dian-ce & Zhang, Xu & Chen, Shuyue, 2020. "A virtual sensor based self-adjusting control for HVAC fast demand response in commercial buildings towards smart grid applications," Applied Energy, Elsevier, vol. 269(C).
  51. 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.
  52. Faria, P. & Vale, Z., 2011. "Demand response in electrical energy supply: An optimal real time pricing approach," Energy, Elsevier, vol. 36(8), pages 5374-5384.
  53. 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.
  54. Chen, Yang & Hu, Mengqi & Zhou, Zhi, 2017. "A data-driven analytical approach to enable optimal emerging technologies integration in the co-optimized electricity and ancillary service markets," Energy, Elsevier, vol. 122(C), pages 613-626.
  55. 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.
  56. Kirchem, Dana & Lynch, Muireann Á & Casey, Eoin & Bertsch, Valentin, 2019. "Demand response within the energy-for-water-nexus: A review," Papers WP637, Economic and Social Research Institute (ESRI).
  57. Kvamsdal, Sturla F. & Maroto, José M. & Morán, Manuel & Sandal, Leif K., 2020. "Bioeconomic modeling of seasonal fisheries," European Journal of Operational Research, Elsevier, vol. 281(2), pages 332-340.
  58. 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.
  59. Shen, Bo & Ghatikar, Girish & Lei, Zeng & Li, Jinkai & Wikler, Greg & Martin, Phil, 2014. "The role of regulatory reforms, market changes, and technology development to make demand response a viable resource in meeting energy challenges," Applied Energy, Elsevier, vol. 130(C), pages 814-823.
  60. John Jairo García & Alejandro Gutiérrez & Luisa Vargas & Hermilson Velásquez, 2018. "Redes inteligentes y mecanismo de respuesta de la demanda: el caso del sector eléctrico colombiano," Documentos de Trabajo de Valor Público 17010, Universidad EAFIT.
  61. Shahryari, E. & Shayeghi, H. & Mohammadi-ivatloo, B. & Moradzadeh, M., 2018. "An improved incentive-based demand response program in day-ahead and intra-day electricity markets," Energy, Elsevier, vol. 155(C), pages 205-214.
  62. Faria, Pedro & Soares, Tiago & Vale, Zita & Morais, Hugo, 2014. "Distributed generation and demand response dispatch for a virtual power player energy and reserve provision," Renewable Energy, Elsevier, vol. 66(C), pages 686-695.
  63. Skoczkowski, Tadeusz & Bielecki, Sławomir & Wołowicz, Marcin & Sobczak, Lidia & Węglarz, Arkadiusz & Gilewski, Paweł, 2024. "Participation in demand side response. Are individual energy users interested in this?," Renewable Energy, Elsevier, vol. 232(C).
  64. Jun Dong & Huijuan Huo & Dongran Liu & Rong Li, 2017. "Evaluating the Comprehensive Performance of Demand Response for Commercial Customers by Applying Combination Weighting Techniques and Fuzzy VIKOR Approach," Sustainability, MDPI, vol. 9(8), pages 1-32, July.
  65. Li, Weilin & Xu, Peng & Lu, Xing & Wang, Huilong & Pang, Zhihong, 2016. "Electricity demand response in China: Status, feasible market schemes and pilots," Energy, Elsevier, vol. 114(C), pages 981-994.
  66. Siano, Pierluigi & Sarno, Debora, 2016. "Assessing the benefits of residential demand response in a real time distribution energy market," Applied Energy, Elsevier, vol. 161(C), pages 533-551.
  67. Farzan, Farbod & Jafari, Mohsen A. & Gong, Jie & Farzan, Farnaz & Stryker, Andrew, 2015. "A multi-scale adaptive model of residential energy demand," Applied Energy, Elsevier, vol. 150(C), pages 258-273.
  68. Khan, Agha Salman M. & Verzijlbergh, Remco A. & Sakinci, Ozgur Can & De Vries, Laurens J., 2018. "How do demand response and electrical energy storage affect (the need for) a capacity market?," Applied Energy, Elsevier, vol. 214(C), pages 39-62.
  69. Ellen Webborn & Robert S. MacKay, 2017. "A Stability Analysis of Thermostatically Controlled Loads for Power System Frequency Control," Complexity, Hindawi, vol. 2017, pages 1-26, December.
  70. Hong, Seung Ho & Yu, Mengmeng & Huang, Xuefei, 2015. "A real-time demand response algorithm for heterogeneous devices in buildings and homes," Energy, Elsevier, vol. 80(C), pages 123-132.
  71. Chen, Yongbao & Xu, Peng & Chu, Yiyi & Li, Weilin & Wu, Yuntao & Ni, Lizhou & Bao, Yi & Wang, Kun, 2017. "Short-term electrical load forecasting using the Support Vector Regression (SVR) model to calculate the demand response baseline for office buildings," Applied Energy, Elsevier, vol. 195(C), pages 659-670.
  72. Cortés-Arcos, Tomás & Bernal-Agustín, José L. & Dufo-López, Rodolfo & Lujano-Rojas, Juan M. & Contreras, Javier, 2017. "Multi-objective demand response to real-time prices (RTP) using a task scheduling methodology," Energy, Elsevier, vol. 138(C), pages 19-31.
  73. Devenish, Anna, 2023. "Institutional and contextual drivers of and barriers to incentive-based demand response: A comparative case study in the Pacific Northwest," Utilities Policy, Elsevier, vol. 84(C).
  74. Yu, Xinran & Ergan, Semiha, 2022. "Estimating power demand shaving capacity of buildings on an urban scale using extracted demand response profiles through machine learning models," Applied Energy, Elsevier, vol. 310(C).
  75. 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).
  76. Qiu, Rui & Liao, Qi & Yan, Jie & Yan, Yamin & Guo, Zhichao & Liang, Yongtu & Zhang, Haoran, 2021. "The coupling impact of subsystem interconnection and demand response on the distributed energy systems: A case study of the composite community in China," Energy, Elsevier, vol. 228(C).
  77. Timo Lohmann & Steffen Rebennack, 2017. "Tailored Benders Decomposition for a Long-Term Power Expansion Model with Short-Term Demand Response," Management Science, INFORMS, vol. 63(6), pages 2027-2048, June.
  78. 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.
  79. Qudrat-Ullah, Hassan, 2013. "Understanding the dynamics of electricity generation capacity in Canada: A system dynamics approach," Energy, Elsevier, vol. 59(C), pages 285-294.
  80. Daeho Kim & Dong Gu Choi, 2023. "The aggregator’s contract design problem in the electricity demand response market," Operational Research, Springer, vol. 23(1), pages 1-47, March.
  81. Nolan, Sheila & O’Malley, Mark, 2015. "Challenges and barriers to demand response deployment and evaluation," Applied Energy, Elsevier, vol. 152(C), pages 1-10.
  82. Farboud Khatami & Erfan Goharian, 2022. "Beyond Profitable Shifts to Green Energies, towards Energy Sustainability," Sustainability, MDPI, vol. 14(8), pages 1-28, April.
  83. 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.
  84. Pascual, Julio & Arcos-Aviles, Diego & Ursúa, Alfredo & Sanchis, Pablo & Marroyo, Luis, 2021. "Energy management for an electro-thermal renewable–based residential microgrid with energy balance forecasting and demand side management," Applied Energy, Elsevier, vol. 295(C).
  85. 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.
  86. Sahraei-Ardakani, Mostafa & Blumsack, Seth & Kleit, Andrew, 2012. "Distributional impacts of state-level energy efficiency policies in regional electricity markets," Energy Policy, Elsevier, vol. 49(C), pages 365-372.
  87. Mark Tocock & Dugald Tinch & Darla Hatton MacDonald & John M. Rose, 2023. "Managing the energy trilemma of reliability, affordability and renewables: Assessing consumer demands with discrete choice experiments," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(2), pages 155-175, April.
  88. Xiao, Jingjie, 2013. "Grid integration and smart grid implementation of emerging technologies in electric power systems through approximate dynamic programming," MPRA Paper 58696, University Library of Munich, Germany.
  89. Pinto, Mauro S.S. & Miranda, Vladimiro & Saavedra, Osvaldo R., 2016. "Risk and unit commitment decisions in scenarios of wind power uncertainty," Renewable Energy, Elsevier, vol. 97(C), pages 550-558.
  90. Saebi, Javad & Ghasemi, Abolfazl & Hojjat, Mehrdad, 2022. "Design and implementation of a competitive framework for a day-ahead demand-response program in Iran," Utilities Policy, Elsevier, vol. 77(C).
  91. Niño-Zambrano, Miguel-Angel & Cobos-Lozada, Carlos-Alberto & Mendoza-Becerra, Martha-Eliana & Ordóñez-Erazo, Hugo-Armando & García-Sierra, Rodolfo, 2024. "System dynamics model for analysis of demand response on incorporating autoswitch in the Colombian electrical sector," Energy Policy, Elsevier, vol. 193(C).
  92. Ma, Yiqun, 2016. "Demand Response Potential of Electricity End-users Facing Real Time Pricing," Research Report 16019-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  93. Burger, Scott P. & Luke, Max, 2017. "Business models for distributed energy resources: A review and empirical analysis," Energy Policy, Elsevier, vol. 109(C), pages 230-248.
  94. Widén, Joakim, 2014. "Improved photovoltaic self-consumption with appliance scheduling in 200 single-family buildings," Applied Energy, Elsevier, vol. 126(C), pages 199-212.
  95. Michael N. Vrahatis & Panagiotis Kontogiorgos & George P. Papavassilopoulos, 2020. "Particle Swarm Optimization for Computing Nash and Stackelberg Equilibria in Energy Markets," SN Operations Research Forum, Springer, vol. 1(3), pages 1-23, September.
  96. Li, Bosong & Shen, Jingshuang & Wang, Xu & Jiang, Chuanwen, 2016. "From controllable loads to generalized demand-side resources: A review on developments of demand-side resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 936-944.
  97. Venkat Durvasulu & Timothy M. Hansen, 2018. "Benefits of a Demand Response Exchange Participating in Existing Bulk-Power Markets," Energies, MDPI, vol. 11(12), pages 1-21, December.
  98. John J. Garcia-Rendon & Alejandro Gutiérrez Gómez & Luisa Vargas Tobón & Hermilson Velasquez Ceballos, 2018. "Redes inteligentes y mecanismo de respuesta de la demanda: el caso del sector eléctrico colombiano Smart grids and demand response mechanism: the case of the Colombian electricity market?," Documentos de Trabajo de Valor Público 16975, Universidad EAFIT.
  99. Seungmi Lee & Jinho Kim, 2018. "Analytical Assessment for System Peak Reduction by Demand Responsive Resources Considering Their Operational Constraints in Wholesale Electricity Market," Energies, MDPI, vol. 11(12), pages 1-15, November.
  100. Zhou, Kaile & Yang, Shanlin, 2015. "Demand side management in China: The context of China’s power industry reform," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 954-965.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.