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Anastasia Shcherbakova

Personal Details

First Name:Anastasia
Middle Name:
Last Name:Shcherbakova
Suffix:
RePEc Short-ID:psh959
[This author has chosen not to make the email address public]
https://sites.google.com/site/anastasiashcherbakova/

Affiliation

Department of Agricultural Economics
Texas A&M University

College Station, Texas (United States)
http://agecon.tamu.edu/
RePEc:edi:datamus (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Kurucak, Abdurrahman & Shcherbakova, Anastasia, 2016. "Estimating the hedging value of an energy exchange in Turkey to a retail power consumer," Energy, Elsevier, vol. 101(C), pages 16-26.
  2. Lei, Zhen & Shcherbakova, Anastasia V., 2015. "Revealing climate change opinions through investment behavior: Evidence from Fukushima," Journal of Environmental Economics and Management, Elsevier, vol. 70(C), pages 92-108.
  3. Shcherbakova, Anastasia & Kleit, Andrew & Cho, Joohyun, 2014. "The value of energy storage in South Korea’s electricity market: A Hotelling approach," Applied Energy, Elsevier, vol. 125(C), pages 93-102.
  4. Kleit, Andrew N. & Shcherbakova, Anastasia V. & Chen, Xu, 2012. "Restructuring and the retail residential market for power in Pennsylvania," Energy Policy, Elsevier, vol. 46(C), pages 443-451.
  5. Kim, Jin-Ho & Shcherbakova, Anastasia, 2011. "Common failures of demand response," Energy, Elsevier, vol. 36(2), pages 873-880.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Kurucak, Abdurrahman & Shcherbakova, Anastasia, 2016. "Estimating the hedging value of an energy exchange in Turkey to a retail power consumer," Energy, Elsevier, vol. 101(C), pages 16-26.

    Cited by:

    1. Sheng‐Tun Li & Kuei‐Chen Chiu & Chien‐Chang Wu, 2023. "Apply big data analytics for forecasting the prices of precious metals futures to construct a hedging strategy for industrial material procurement," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 942-959, March.

  2. Lei, Zhen & Shcherbakova, Anastasia V., 2015. "Revealing climate change opinions through investment behavior: Evidence from Fukushima," Journal of Environmental Economics and Management, Elsevier, vol. 70(C), pages 92-108.

    Cited by:

    1. Wu, Xin & Bai, Xiao & Qi, Hanying & Lu, Lanxin & Yang, Mingyuan & Taghizadeh-Hesary, Farhad, 2023. "The impact of climate change on banking systemic risk," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 419-437.
    2. El Ouadghiri, Imane & Guesmi, Khaled & Peillex, Jonathan & Ziegler, Andreas, 2021. "Public Attention to Environmental Issues and Stock Market Returns," Ecological Economics, Elsevier, vol. 180(C).
    3. Wang, Jingjuan & Xia, Weili, 2022. "Public attention and investment efficiency: Incentive effect or deterrent effect? Analysis on heterogeneous bilateral stochastic frontier model," Technological Forecasting and Social Change, Elsevier, vol. 185(C).

  3. Shcherbakova, Anastasia & Kleit, Andrew & Cho, Joohyun, 2014. "The value of energy storage in South Korea’s electricity market: A Hotelling approach," Applied Energy, Elsevier, vol. 125(C), pages 93-102.

    Cited by:

    1. Chen, Yang & Odukomaiya, Adewale & Kassaee, Saiid & O’Connor, Patrick & Momen, Ayyoub M. & Liu, Xiaobing & Smith, Brennan T., 2019. "Preliminary analysis of market potential for a hydropneumatic ground-level integrated diverse energy storage system," Applied Energy, Elsevier, vol. 242(C), pages 1237-1247.
    2. Karim L. Anaya & Michael G. Pollitt, 2018. "Storage Business Models: Lessons for Electricity from Natural Gas, Cloud Data and Frozen Food," Working Papers EPRG 1804, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    3. Enrico Telaretti & Mariano Ippolito & Luigi Dusonchet, 2015. "A Simple Operating Strategy of Small-Scale Battery Energy Storages for Energy Arbitrage under Dynamic Pricing Tariffs," Energies, MDPI, vol. 9(1), pages 1-20, December.
    4. Braeuer, Fritz & Rominger, Julian & McKenna, Russell & Fichtner, Wolf, 2019. "Battery storage systems: An economic model-based analysis of parallel revenue streams and general implications for industry," Applied Energy, Elsevier, vol. 239(C), pages 1424-1440.
    5. Zafirakis, Dimitrios & Chalvatzis, Konstantinos J. & Baiocchi, Giovanni & Daskalakis, Georgios, 2016. "The value of arbitrage for energy storage: Evidence from European electricity markets," Applied Energy, Elsevier, vol. 184(C), pages 971-986.
    6. Yu Ji & Xiaogang Hou & Lingfeng Kou & Ming Wu & Ying Zhang & Xiong Xiong & Baodi Ding & Ping Xue & Junlong Li & Yue Xiang, 2019. "Cost–Benefit Analysis of Energy Storage in Distribution Networks," Energies, MDPI, vol. 12(17), pages 1-23, September.
    7. 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.
    8. Zheng, Menglian & Meinrenken, Christoph J. & Lackner, Klaus S., 2015. "Smart households: Dispatch strategies and economic analysis of distributed energy storage for residential peak shaving," Applied Energy, Elsevier, vol. 147(C), pages 246-257.
    9. Yan, Xiaohe & Gu, Chenghong & Li, Furong & Xiang, Yue, 2018. "Network pricing for customer-operated energy storage in distribution networks," Applied Energy, Elsevier, vol. 212(C), pages 283-292.
    10. Sidhu, Arjan S. & Pollitt, Michael G. & Anaya, Karim L., 2018. "A social cost benefit analysis of grid-scale electrical energy storage projects: A case study," Applied Energy, Elsevier, vol. 212(C), pages 881-894.
    11. Telaretti, E. & Graditi, G. & Ippolito, M.G. & Zizzo, G., 2016. "Economic feasibility of stationary electrochemical storages for electric bill management applications: The Italian scenario," Energy Policy, Elsevier, vol. 94(C), pages 126-137.
    12. Fu, Yangyang & O'Neill, Zheng & Wen, Jin & Pertzborn, Amanda & Bushby, Steven T., 2022. "Utilizing commercial heating, ventilating, and air conditioning systems to provide grid services: A review," Applied Energy, Elsevier, vol. 307(C).
    13. Ding, Jie & Xu, Yujie & Chen, Haisheng & Sun, Wenwen & Hu, Shan & Sun, Shuang, 2019. "Value and economic estimation model for grid-scale energy storage in monopoly power markets," Applied Energy, Elsevier, vol. 240(C), pages 986-1002.
    14. 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.
    15. de Sisternes, Fernando J. & Jenkins, Jesse D. & Botterud, Audun, 2016. "The value of energy storage in decarbonizing the electricity sector," Applied Energy, Elsevier, vol. 175(C), pages 368-379.
    16. Cho, Joohyun & Kleit, Andrew N., 2015. "Energy storage systems in energy and ancillary markets: A backwards induction approach," Applied Energy, Elsevier, vol. 147(C), pages 176-183.
    17. Dufo-López, Rodolfo, 2015. "Optimisation of size and control of grid-connected storage under real time electricity pricing conditions," Applied Energy, Elsevier, vol. 140(C), pages 395-408.
    18. Meinrenken, Christoph J. & Mehmani, Ali, 2019. "Concurrent optimization of thermal and electric storage in commercial buildings to reduce operating cost and demand peaks under time-of-use tariffs," Applied Energy, Elsevier, vol. 254(C).
    19. Contreras, Javier & Rodríguez, Yeny E., 2014. "GARCH-based put option valuation to maximize benefit of wind investors," Applied Energy, Elsevier, vol. 136(C), pages 259-268.

  4. Kleit, Andrew N. & Shcherbakova, Anastasia V. & Chen, Xu, 2012. "Restructuring and the retail residential market for power in Pennsylvania," Energy Policy, Elsevier, vol. 46(C), pages 443-451.

    Cited by:

    1. Labanca, Nicola & Bertoldi, Paolo, 2018. "Beyond energy efficiency and individual behaviours: policy insights from social practice theories," Energy Policy, Elsevier, vol. 115(C), pages 494-502.
    2. Alena V. Pivavarava & Christel Koop, 2023. "The adoption of digital practices by economic regulators: mapping digital pathways for consumer e-participation," Economics Series Working Papers 1013, University of Oxford, Department of Economics.
    3. Poruschi, Lavinia & Ambrey, Christopher L., 2018. "Densification, what does it mean for fuel poverty and energy justice? An empirical analysis," Energy Policy, Elsevier, vol. 117(C), pages 208-217.
    4. Moniche-Bermejo, Ana, 2022. "Do collective energy switching campaigns engage vulnerable households? Evidence from The Big Switch," Energy Policy, Elsevier, vol. 167(C).
    5. Simone Di Leo & Marta Chicca & Cinzia Daraio & Andrea Guerrini & Stefano Scarcella, 2022. "A Framework for the Analysis of the Sustainability of the Energy Retail Market," Sustainability, MDPI, vol. 14(12), pages 1-28, June.
    6. Esplin, Ryan & Best, Rohan & Scranton, Jessica & Chai, Andreas, 2022. "Who pays the loyalty tax? The relationship between socioeconomic status and switching in Australia's retail electricity markets," Energy Policy, Elsevier, vol. 164(C).
    7. Streeter, Jialu Liu, 2016. "Adoption of SO2 emission control technologies - An application of survival analysis," Energy Policy, Elsevier, vol. 90(C), pages 16-23.
    8. Stephen Littlechild, 2019. "Promoting competition and protecting customers? Regulation of the GB retail energy market 2008–2016," Journal of Regulatory Economics, Springer, vol. 55(2), pages 107-139, April.
    9. Yang, Yingkui & Solgaard, Hans Stubbe & Haider, Wolfgang, 2016. "Wind, hydro or mixed renewable energy source: Preference for electricity products when the share of renewable energy increases," Energy Policy, Elsevier, vol. 97(C), pages 521-531.
    10. Tsai, Chen-Hao & Tsai, Yi-Lin, 2018. "Competitive retail electricity market under continuous price regulation," Energy Policy, Elsevier, vol. 114(C), pages 274-287.
    11. Tian, Peng & Lin, Boqiang, 2017. "Promoting green productivity growth for China's industrial exports: Evidence from a hybrid input-output model," Energy Policy, Elsevier, vol. 111(C), pages 394-402.
    12. Diaz-Mendez, S.E. & Torres-Rodríguez, A.A. & Abatal, M. & Soberanis, M.A. Escalante & Bassam, A. & Pedraza-Basulto, G.K., 2018. "Economic, environmental and health co-benefits of the use of advanced control strategies for lighting in buildings of Mexico," Energy Policy, Elsevier, vol. 113(C), pages 401-409.

  5. Kim, Jin-Ho & Shcherbakova, Anastasia, 2011. "Common failures of demand response," Energy, Elsevier, vol. 36(2), pages 873-880.

    Cited by:

    1. Elena Vechkinzova & Yelena Petrenko & Yana S. Matkovskaya & Gaukhar Koshebayeva, 2021. "The Dilemma of Long-Term Development of the Electric Power Industry in Kazakhstan," Energies, MDPI, vol. 14(9), pages 1-21, April.
    2. Gallo, A.B. & Simões-Moreira, J.R. & Costa, H.K.M. & Santos, M.M. & Moutinho dos Santos, E., 2016. "Energy storage in the energy transition context: A technology review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 800-822.
    3. Javed, Fahad & Arshad, Naveed & Wallin, Fredrik & Vassileva, Iana & Dahlquist, Erik, 2012. "Forecasting for demand response in smart grids: An analysis on use of anthropologic and structural data and short term multiple loads forecasting," Applied Energy, Elsevier, vol. 96(C), pages 150-160.
    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. Antonopoulos, Ioannis & Robu, Valentin & Couraud, Benoit & Kirli, Desen & Norbu, Sonam & Kiprakis, Aristides & Flynn, David & Elizondo-Gonzalez, Sergio & Wattam, Steve, 2020. "Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    6. Mark Olsthoorn & Joachim Schleich & Marian Klobasa D, 2015. "Barriers to electricity load shift in companies: A survey-based exploration of the end-user perspective," Grenoble Ecole de Management (Post-Print) hal-01104611, HAL.
    7. 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.
    8. 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.
    9. Ferreira, R.S. & Barroso, L.A. & Carvalho, M.M., 2012. "Demand response models with correlated price data: A robust optimization approach," Applied Energy, Elsevier, vol. 96(C), pages 133-149.
    10. Blumsack, Seth & Fernandez, Alisha, 2012. "Ready or not, here comes the smart grid!," Energy, Elsevier, vol. 37(1), pages 61-68.
    11. Nilsson, Anders & Lazarevic, David & Brandt, Nils & Kordas, Olga, 2018. "Household responsiveness to residential demand response strategies: Results and policy implications from a Swedish field study," Energy Policy, Elsevier, vol. 122(C), pages 273-286.
    12. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Agent-based models and economic policy," SciencePo Working papers Main hal-03461120, HAL.
    13. O׳Connell, Niamh & Pinson, Pierre & Madsen, Henrik & O׳Malley, Mark, 2014. "Benefits and challenges of electrical demand response: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 686-699.
    14. Rae, Callum & Kerr, Sandy & Maroto-Valer, M. Mercedes, 2020. "Upscaling smart local energy systems: A review of technical barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    15. Alasseri, Rajeev & Rao, T. Joji & Sreekanth, K.J., 2020. "Institution of incentive-based demand response programs and prospective policy assessments for a subsidized electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    16. Kris Kessels & Carolien Kraan & Ludwig Karg & Simone Maggiore & Pieter Valkering & Erik Laes, 2016. "Fostering Residential Demand Response through Dynamic Pricing Schemes: A Behavioural Review of Smart Grid Pilots in Europe," Sustainability, MDPI, vol. 8(9), pages 1-21, September.
    17. Pallonetto, Fabiano & De Rosa, Mattia & D’Ettorre, Francesco & Finn, Donal P., 2020. "On the assessment and control optimisation of demand response programs in residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    18. Konstantina Valogianni & Wolfgang Ketter & John Collins & Dmitry Zhdanov, 2020. "Sustainable Electric Vehicle Charging using Adaptive Pricing," Production and Operations Management, Production and Operations Management Society, vol. 29(6), pages 1550-1572, June.
    19. Dewangan, Chaman Lal & Vijayan, Vineeth & Shukla, Devesh & Chakrabarti, S. & Singh, S.N. & Sharma, Ankush & Hossain, Md. Alamgir, 2023. "An improved decentralized scheme for incentive-based demand response from residential customers," Energy, Elsevier, vol. 284(C).
    20. Hofmann, Matthias & Lindberg, Karen Byskov, 2024. "Evidence of households' demand flexibility in response to variable hourly electricity prices – Results from a comprehensive field experiment in Norway," Energy Policy, Elsevier, vol. 184(C).
    21. Ma, Jianli & Li, Qi & Kühn, Michael & Nakaten, Natalie, 2018. "Power-to-gas based subsurface energy storage: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 478-496.
    22. Jin, Ming & Feng, Wei & Marnay, Chris & Spanos, Costas, 2018. "Microgrid to enable optimal distributed energy retail and end-user demand response," Applied Energy, Elsevier, vol. 210(C), pages 1321-1335.
    23. Stede, Jan & Arnold, Karin & Dufter, Christa & Holtz, Georg & von Roon, Serafin & Richstein, Jörn C., 2020. "The role of aggregators in facilitating industrial demand response: Evidence from Germany," Energy Policy, Elsevier, vol. 147(C).
    24. 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.
    25. Zhou, Yang & Ma, Rong & Su, Yun & Wu, Libo, 2019. "Too big to change: How heterogeneous firms respond to time-of-use electricity price," China Economic Review, Elsevier, vol. 58(C).
    26. Olga Bogdanova & Karīna Viskuba & Laila Zemīte, 2023. "A Review of Barriers and Enables in Demand Response Performance Chain," Energies, MDPI, vol. 16(18), pages 1-33, September.
    27. 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.
    28. Alcázar-Ortega, Manuel & Calpe, Carmen & Theisen, Thomas & Carbonell-Carretero, José Francisco, 2015. "Methodology for the identification, evaluation and prioritization of market handicaps which prevent the implementation of Demand Response: Application to European electricity markets," Energy Policy, Elsevier, vol. 86(C), pages 529-543.
    29. Ottavia Valentini & Nikoleta Andreadou & Paolo Bertoldi & Alexandre Lucas & Iolanda Saviuc & Evangelos Kotsakis, 2022. "Demand Response Impact Evaluation: A Review of Methods for Estimating the Customer Baseline Load," Energies, MDPI, vol. 15(14), pages 1-36, July.
    30. Naima Lassoued & Imen Khanchel & Cyrine Khiari, 2024. "Pollution control bonds and overinvestment in utility companies: Does ownership matter?," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 51(2), pages 517-539, June.
    31. Katz, Jonas, 2014. "Linking meters and markets: Roles and incentives to support a flexible demand side," Utilities Policy, Elsevier, vol. 31(C), pages 74-84.
    32. 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.
    33. Florian Kuhnlenz & Pedro H. J. Nardelli & Santtu Karhinen & Rauli Svento, 2017. "Implementing Flexible Demand: Real-time Price vs. Market Integration," Papers 1709.02667, arXiv.org, revised Feb 2018.
    34. 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.
    35. Balta-Ozkan, Nazmiye & Davidson, Rosemary & Bicket, Martha & Whitmarsh, Lorraine, 2013. "The development of smart homes market in the UK," Energy, Elsevier, vol. 60(C), pages 361-372.
    36. Montuori, Lina & Alcázar-Ortega, Manuel, 2021. "Demand response strategies for the balancing of natural gas systems: Application to a local network located in The Marches (Italy)," Energy, Elsevier, vol. 225(C).
    37. 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.
    38. Arasteh, Hamidreza & Sepasian, Mohammad Sadegh & Vahidinasab, Vahid, 2016. "An aggregated model for coordinated planning and reconfiguration of electric distribution networks," Energy, Elsevier, vol. 94(C), pages 786-798.
    39. Marikyan, Davit & Papagiannidis, Savvas & Alamanos, Eleftherios, 2019. "A systematic review of the smart home literature: A user perspective," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 139-154.
    40. 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).
    41. Alcázar-Ortega, Manuel & Álvarez-Bel, Carlos & Domijan, Alexander & Escrivá-Escrivá, Guillermo, 2012. "Economic and environmental evaluation of customers' flexibility participating in operation markets: Application to the meat industry," Energy, Elsevier, vol. 41(1), pages 368-379.
    42. Alasseri, Rajeev & Tripathi, Ashish & Joji Rao, T. & Sreekanth, K.J., 2017. "A review on implementation strategies for demand side management (DSM) in Kuwait through incentive-based demand response programs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 617-635.
    43. Pina, André & Silva, Carlos & Ferrão, Paulo, 2012. "The impact of demand side management strategies in the penetration of renewable electricity," Energy, Elsevier, vol. 41(1), pages 128-137.
    44. Mattia De Rosa & Marcus Brennenstuhl & Carlos Andrade Cabrera & Ursula Eicker & Donal P. Finn, 2019. "An Iterative Methodology for Model Complexity Reduction in Residential Building Simulation," Energies, MDPI, vol. 12(12), pages 1-20, June.
    45. Ramos, Dorel Soares & Del Carpio Huayllas, Tesoro Elena & Morozowski Filho, Marciano & Tolmasquim, Mauricio Tiomno, 2020. "New commercial arrangements and business models in electricity distribution systems: The case of Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    46. Barzin, Reza & Chen, John J.J. & Young, Brent R. & Farid, Mohammed M., 2015. "Peak load shifting with energy storage and price-based control system," Energy, Elsevier, vol. 92(P3), pages 505-514.
    47. Afzalan, Milad & Jazizadeh, Farrokh, 2019. "Residential loads flexibility potential for demand response using energy consumption patterns and user segments," Applied Energy, Elsevier, vol. 254(C).
    48. Sloot, Daniel & Scheibehenne, Benjamin, 2022. "Understanding the financial incentive conundrum: A meta-analysis of the effectiveness of financial incentive interventions in promoting energy conservation behavior," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    49. Ma, Siyu & Liu, Hui & Wang, Ni & Huang, Lidong & Su, Jinshuo & Zhao, Teyang, 2024. "Incentive-based integrated demand response with multi-energy time-varying carbon emission factors," Applied Energy, Elsevier, vol. 359(C).
    50. Good, Nicholas & Ellis, Keith A. & Mancarella, Pierluigi, 2017. "Review and classification of barriers and enablers of demand response in the smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 57-72.
    51. 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.
    52. 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).
    53. Kühnlenz, Florian & Nardelli, Pedro H.J. & Karhinen, Santtu & Svento, Rauli, 2018. "Implementing flexible demand: Real-time price vs. market integration," Energy, Elsevier, vol. 149(C), pages 550-565.
    54. Lopes, Marta A.R. & Henggeler Antunes, Carlos & Janda, Kathryn B. & Peixoto, Paulo & Martins, Nelson, 2016. "The potential of energy behaviours in a smart(er) grid: Policy implications from a Portuguese exploratory study," Energy Policy, Elsevier, vol. 90(C), pages 233-245.
    55. Tostado-Véliz, Marcos & Kamel, Salah & Hasanien, Hany M. & Turky, Rania A. & Jurado, Francisco, 2022. "Uncertainty-aware day-ahead scheduling of microgrids considering response fatigue: An IGDT approach," Applied Energy, Elsevier, vol. 310(C).
    56. Olmos, Luis & Ruester, Sophia & Liong, Siok-Jen & Glachant, Jean-Michel, 2011. "Energy efficiency actions related to the rollout of smart meters for small consumers, application to the Austrian system," Energy, Elsevier, vol. 36(7), pages 4396-4409.
    57. Colak, Ilhami & Sagiroglu, Seref & Fulli, Gianluca & Yesilbudak, Mehmet & Covrig, Catalin-Felix, 2016. "A survey on the critical issues in smart grid technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 396-405.
    58. Carlotta Piantieri, 2018. "Innovative Business Models for Cleantechs," DIW Roundup: Politik im Fokus 125, DIW Berlin, German Institute for Economic Research.
    59. 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.
    60. Chicco, Gianfranco, 2012. "Overview and performance assessment of the clustering methods for electrical load pattern grouping," Energy, Elsevier, vol. 42(1), pages 68-80.
    61. Lujano-Rojas, Juan M. & Monteiro, Cláudio & Dufo-López, Rodolfo & Bernal-Agustín, José L., 2012. "Optimum residential load management strategy for real time pricing (RTP) demand response programs," Energy Policy, Elsevier, vol. 45(C), pages 671-679.
    62. Paulo Oliveira & Margarida Vaz Pato, 2014. "Time-Of-Use Electricity Tariffs With Smart Meters," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(2), pages 59-74.
    63. 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.
    64. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2022. "Consumer preferences for the design of a demand response quota scheme – Results of a choice experiment in Germany," Energy Policy, Elsevier, vol. 167(C).
    65. Nijhuis, M. & Gibescu, M. & Cobben, J.F.G., 2015. "Assessment of the impacts of the renewable energy and ICT driven energy transition on distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1003-1014.
    66. Zheng, Shunlin & Qi, Qi & Sun, Yi & Ai, Xin, 2023. "Integrated demand response considering substitute effect and time-varying response characteristics under incomplete information," Applied Energy, Elsevier, vol. 333(C).
    67. Zhou, Kaile & Yang, Shanlin, 2016. "Understanding household energy consumption behavior: The contribution of energy big data analytics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 810-819.
    68. Leinauer, Christina & Schott, Paul & Fridgen, Gilbert & Keller, Robert & Ollig, Philipp & Weibelzahl, Martin, 2022. "Obstacles to demand response: Why industrial companies do not adapt their power consumption to volatile power generation," Energy Policy, Elsevier, vol. 165(C).
    69. Tostado-Véliz, Marcos & Hasanien, Hany M. & Jordehi, Ahmad Rezaee & Turky, Rania A. & Jurado, Francisco, 2023. "Risk-averse optimal participation of a DR-intensive microgrid in competitive clusters considering response fatigue," Applied Energy, Elsevier, vol. 339(C).
    70. 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).
    71. Zoltowska, Izabela, 2016. "Demand shifting bids in energy auction with non-convexities and transmission constraints," Energy Economics, Elsevier, vol. 53(C), pages 17-27.
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