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Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy

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Cited by:

  1. Jordehi, A. Rezaee, 2019. "Optimisation of demand response in electric power systems, a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 308-319.
  2. 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.
  3. Francesco Simmini & Tommaso Caldognetto & Mattia Bruschetta & Enrico Mion & Ruggero Carli, 2021. "Model Predictive Control for Efficient Management of Energy Resources in Smart Buildings," Energies, MDPI, vol. 14(18), pages 1-19, September.
  4. Venizelou, Venizelos & Philippou, Nikolas & Hadjipanayi, Maria & Makrides, George & Efthymiou, Venizelos & Georghiou, George E., 2018. "Development of a novel time-of-use tariff algorithm for residential prosumer price-based demand side management," Energy, Elsevier, vol. 142(C), pages 633-646.
  5. Goulden, Murray & Spence, Alexa & Wardman, Jamie & Leygue, Caroline, 2018. "Differentiating ‘the user’ in DSR: Developing demand side response in advanced economies," Energy Policy, Elsevier, vol. 122(C), pages 176-185.
  6. 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.
  7. 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.
  8. Jacopo Torriti & Philipp Grunewald, 2014. "Demand Side Response: Patterns in Europe and Future Policy Perspectives under Capacity Mechanisms," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 1).
  9. Gong, Chengzhu & Tang, Kai & Zhu, Kejun & Hailu, Atakelty, 2016. "An optimal time-of-use pricing for urban gas: A study with a multi-agent evolutionary game-theoretic perspective," Applied Energy, Elsevier, vol. 163(C), pages 283-294.
  10. Cédric Clastres & Haikel Khalfallah, 2021. "Dynamic pricing efficiency with strategic retailers and consumers: An analytical analysis of short-term market interactions," Post-Print hal-03193212, HAL.
  11. 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.
  12. Dong Gu Choi & Michael K. Lim & Karthik Murali & Valerie M. Thomas, 2020. "Why Have Voluntary Time‐of‐Use Tariffs Fallen Short in the Residential Sector?," Production and Operations Management, Production and Operations Management Society, vol. 29(3), pages 617-642, March.
  13. Julien Lancelot Michellod & Declan Kuch & Christian Winzer & Martin K. Patel & Selin Yilmaz, 2022. "Building Social License for Automated Demand-Side Management—Case Study Research in the Swiss Residential Sector," Energies, MDPI, vol. 15(20), pages 1-25, October.
  14. Patrick Schembri & Hynd Remita, 2021. "Énergies « nouvelles » et société," Post-Print hal-03394500, HAL.
  15. Hu, Zhuangli & Zhang, Yongjun & Li, Canbing & Li, Jing & Cao, Yijia & Luo, Diansheng & Cao, Huazhen, 2015. "Utilization efficiency of electrical equipment within life cycle assessment: Indexes, analysis and a case," Energy, Elsevier, vol. 88(C), pages 885-896.
  16. Michał Gliński & Carsten Bojesen & Witold Rybiński & Sebastian Bykuć, 2019. "Modelling of the Biomass mCHP Unit for Power Peak Shaving in the Local Electrical Grid," Energies, MDPI, vol. 12(3), pages 1-14, January.
  17. He, Xian & Keyaerts, Nico & Azevedo, Isabel & Meeus, Leonardo & Hancher, Leigh & Glachant, Jean-Michel, 2013. "How to engage consumers in demand response: A contract perspective," Utilities Policy, Elsevier, vol. 27(C), pages 108-122.
  18. Weiwei Cui & Lin Li & Zhiqiang Lu, 2019. "Energy‐efficient scheduling for sustainable manufacturing systems with renewable energy resources," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(2), pages 154-173, March.
  19. Osaru Agbonaye & Patrick Keatley & Ye Huang & Motasem Bani Mustafa & Neil Hewitt, 2020. "Design, Valuation and Comparison of Demand Response Strategies for Congestion Management," Energies, MDPI, vol. 13(22), pages 1-29, November.
  20. Batalla-Bejerano, Joan & Trujillo-Baute, Elisa & Villa-Arrieta, Manuel, 2020. "Smart meters and consumer behaviour: Insights from the empirical literature," Energy Policy, Elsevier, vol. 144(C).
  21. Madia Safdar & Ghulam Amjad Hussain & Matti Lehtonen, 2019. "Costs of Demand Response from Residential Customers’ Perspective," Energies, MDPI, vol. 12(9), pages 1-16, April.
  22. Francesco Simmini & Marco Agostini & Massimiliano Coppo & Tommaso Caldognetto & Andrea Cervi & Fabio Lain & Ruggero Carli & Roberto Turri & Paolo Tenti, 2020. "Leveraging Demand Flexibility by Exploiting Prosumer Response to Price Signals in Microgrids," Energies, MDPI, vol. 13(12), pages 1-19, June.
  23. Kiguchi, Y. & Weeks, M. & Arakawa, R., 2021. "Predicting winners and losers under time-of-use tariffs using smart meter data," Energy, Elsevier, vol. 236(C).
  24. 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.
  25. Paraskevas Panagiotidis & Andrew Effraimis & George A Xydis, 2019. "An R-based forecasting approach for efficient demand response strategies in autonomous micro-grids," Energy & Environment, , vol. 30(1), pages 63-80, February.
  26. Wang, Xuebin & Song, Wenle & Wu, Haotian & Liang, Haiping & Saboor, Ahmed, 2022. "Microgrid operation relying on economic problems considering renewable sources, storage system, and demand-side management using developed gray wolf optimization algorithm," Energy, Elsevier, vol. 248(C).
  27. 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.
  28. 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.
  29. Muttaqee, Mahmood & Stelmach, Greg & Zanocco, Chad & Flora, June & Rajagopal, Ram & Boudet, Hilary S., 2024. "Time of use pricing and likelihood of shifting energy activities, strategies, and timing," Energy Policy, Elsevier, vol. 187(C).
  30. Kovacic, Zora & Giampietro, Mario, 2015. "Empty promises or promising futures? The case of smart grids," Energy, Elsevier, vol. 93(P1), pages 67-74.
  31. Li, Lanlan & Gong, Chengzhu & Tian, Shizhong & Jiao, Jianling, 2016. "The peak-shaving efficiency analysis of natural gas time-of-use pricing for residential consumers: Evidence from multi-agent simulation," Energy, Elsevier, vol. 96(C), pages 48-58.
  32. Cui, Weiwei & Li, Lin, 2018. "A game-theoretic approach to optimize the Time-of-Use pricing considering customer behaviors," International Journal of Production Economics, Elsevier, vol. 201(C), pages 75-88.
  33. Tiago Fonseca & Luis Lino Ferreira & Jorge Landeck & Lurian Klein & Paulo Sousa & Fayaz Ahmed, 2022. "Flexible Loads Scheduling Algorithms for Renewable Energy Communities," Energies, MDPI, vol. 15(23), pages 1-24, November.
  34. Kendel, Adnane & Lazaric, Nathalie & Maréchal, Kevin, 2017. "What do people ‘learn by looking’ at direct feedback on their energy consumption? Results of a field study in Southern France," Energy Policy, Elsevier, vol. 108(C), pages 593-605.
  35. Venizelou, Venizelos & Makrides, George & Efthymiou, Venizelos & Georghiou, George E., 2020. "Methodology for deploying cost-optimum price-based demand side management for residential prosumers," Renewable Energy, Elsevier, vol. 153(C), pages 228-240.
  36. Macedo, M.N.Q. & Galo, J.J.M. & de Almeida, L.A.L. & de C. Lima, A.C., 2015. "Demand side management using artificial neural networks in a smart grid environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 128-133.
  37. 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.
  38. Martínez Ceseña, Eduardo A. & Good, Nicholas & Mancarella, Pierluigi, 2015. "Electrical network capacity support from demand side response: Techno-economic assessment of potential business cases for small commercial and residential end-users," Energy Policy, Elsevier, vol. 82(C), pages 222-232.
  39. Ayón, X. & Gruber, J.K. & Hayes, B.P. & Usaola, J. & Prodanović, M., 2017. "An optimal day-ahead load scheduling approach based on the flexibility of aggregate demands," Applied Energy, Elsevier, vol. 198(C), pages 1-11.
  40. Lu, Renzhi & Hong, Seung Ho & Zhang, Xiongfeng, 2018. "A Dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach," Applied Energy, Elsevier, vol. 220(C), pages 220-230.
  41. Wang, Chengshan & Lv, Chaoxian & Li, Peng & Song, Guanyu & Li, Shuquan & Xu, Xiandong & Wu, Jianzhong, 2018. "Modeling and optimal operation of community integrated energy systems: A case study from China," Applied Energy, Elsevier, vol. 230(C), pages 1242-1254.
  42. Manur, Ashray & Venkataramanan, Giri & Sehloff, David, 2018. "Simple electric utility platform: A hardware/software solution for operating emergent microgrids," Applied Energy, Elsevier, vol. 210(C), pages 748-763.
  43. 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.
  44. Charwand, Mansour & Gitizadeh, Mohsen, 2018. "Optimal TOU tariff design using robust intuitionistic fuzzy divergence based thresholding," Energy, Elsevier, vol. 147(C), pages 655-662.
  45. 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.
  46. Seier, Maximilian & Schebek, Liselotte, 2017. "Model-based investigation of residual load smoothing through dynamic electricity purchase: The case of wastewater treatment plants in Germany," Applied Energy, Elsevier, vol. 205(C), pages 210-224.
  47. Wang, Yong & Li, Lin, 2014. "Time-of-use based electricity cost of manufacturing systems: Modeling and monotonicity analysis," International Journal of Production Economics, Elsevier, vol. 156(C), pages 246-259.
  48. 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.
  49. Ahmed Ismail & Mustafa Baysal, 2023. "Dynamic Pricing Based on Demand Response Using Actor–Critic Agent Reinforcement Learning," Energies, MDPI, vol. 16(14), pages 1-19, July.
  50. Hortay, Olivér & Kökény, László, 2020. "A villamosenergia-fogyasztás elhalasztásával kapcsolatos lakossági attitűd felmérése Magyarországon [A survey of popular attitudes to deferment of electricity consumption in Hungary]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 657-687.
  51. Dato, Prudence & Durmaz, Tunç & Pommeret, Aude, 2020. "Smart grids and renewable electricity generation by households," Energy Economics, Elsevier, vol. 86(C).
  52. Buckley, Penelope, 2020. "Prices, information and nudges for residential electricity conservation: A meta-analysis," Ecological Economics, Elsevier, vol. 172(C).
  53. Yang, Shu-Xia & Nie, Tian-qi & Li, Cheng-Cheng, 2022. "Research on the contribution of regional Energy Internet emission reduction considering time-of-use tariff," Energy, Elsevier, vol. 239(PB).
  54. Xu, Bing & Nayak, Amar & Gray, David & Ouenniche, Jamal, 2016. "Assessing energy business cases implemented in the North Sea Region and strategy recommendations," Applied Energy, Elsevier, vol. 172(C), pages 360-371.
  55. Voulis, Nina & van Etten, Max J.J. & Chappin, Émile J.L. & Warnier, Martijn & Brazier, Frances M.T., 2019. "Rethinking European energy taxation to incentivise consumer demand response participation," Energy Policy, Elsevier, vol. 124(C), pages 156-168.
  56. 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).
  57. Azzopardi, Brian & Gabriel-Buenaventura, Alejandro, 2014. "Feasibility assessment for high penetration of distributed photovoltaics based on net demand planning," Energy, Elsevier, vol. 76(C), pages 233-240.
  58. Strong, Derek Ryan, 2017. "The Early Diffusion of Smart Meters in the US Electric Power Industry," Thesis Commons 7zprk, Center for Open Science.
  59. Alipour, Panteha & Mukherjee, Sayanti & Nateghi, Roshanak, 2019. "Assessing climate sensitivity of peak electricity load for resilient power systems planning and operation: A study applied to the Texas region," Energy, Elsevier, vol. 185(C), pages 1143-1153.
  60. Torriti, Jacopo, 2013. "The significance of occupancy steadiness in residential consumer response to Time-of-Use pricing: Evidence from a stochastic adjustment model," Utilities Policy, Elsevier, vol. 27(C), pages 49-56.
  61. 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.
  62. Andruszkiewicz, Jerzy & Lorenc, Józef & Weychan, Agnieszka, 2020. "Seasonal variability of price elasticity of demand of households using zonal tariffs and its impact on hourly load of the power system," Energy, Elsevier, vol. 196(C).
  63. Xiao Han & Ming Zhou & Gengyin Li & Kwang Y. Lee, 2017. "Optimal Dispatching of Active Distribution Networks Based on Load Equilibrium," Energies, MDPI, vol. 10(12), pages 1-17, December.
  64. 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).
  65. Kim, Kyungah & Choi, Jihye & Lee, Jihee & Lee, Jongsu & Kim, Junghun, 2023. "Public preferences and increasing acceptance of time-varying electricity pricing for demand side management in South Korea," Energy Economics, Elsevier, vol. 119(C).
  66. Graditi, G. & Ippolito, M.G. & Telaretti, E. & Zizzo, G., 2016. "Technical and economical assessment of distributed electrochemical storages for load shifting applications: An Italian case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 515-523.
  67. Jing-Li Fan & Hua Liao & Bao-Jun Tang & Su-Yan Pan & Hao Yu & Yi-Ming Wei, 2016. "The impacts of migrant workers consumption on energy use and CO2 emissions in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 725-743, March.
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  69. 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).
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  111. Muhammad Azhar Hassan & Saad Ullah Khan & Muhammad Fahad Zia & Azka Sardar & Khawaja Khalid Mehmood & Fiaz Ahmad, 2023. "Demand-Side Management and Its Impact on the Growing Circular Debt of Pakistan’s Energy Sector," Energies, MDPI, vol. 16(15), pages 1-20, July.
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