Artículos de revistas sobre el tema "Incentive-based demand response strategies"
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Deng, Chunyu y Kehe Wu. "Residential Demand Response Strategy Based on Deep Deterministic Policy Gradient". Processes 9, n.º 4 (9 de abril de 2021): 660. http://dx.doi.org/10.3390/pr9040660.
Texto completoAlasseri, Rajeev, Ashish Tripathi, T. Joji Rao y K. J. Sreekanth. "A review on implementation strategies for demand side management (DSM) in Kuwait through incentive-based demand response programs". Renewable and Sustainable Energy Reviews 77 (septiembre de 2017): 617–35. http://dx.doi.org/10.1016/j.rser.2017.04.023.
Texto completoDomínguez-Garabitos, Máximo A., Víctor S. Ocaña-Guevara, Félix Santos-García, Adriana Arango-Manrique y Miguel Aybar-Mejía. "A Methodological Proposal for Implementing Demand-Shifting Strategies in the Wholesale Electricity Market". Energies 15, n.º 4 (11 de febrero de 2022): 1307. http://dx.doi.org/10.3390/en15041307.
Texto completoLi, Yuling, Xiaoying Wang y Peicong Luo. "Strategies for Datacenters Participating in Demand Response by Two-Stage Decisions". Mathematical Problems in Engineering 2020 (22 de julio de 2020): 1–15. http://dx.doi.org/10.1155/2020/5206082.
Texto completoLeobner, Ines, Peter Smolek, Bernhard Heinzl, Philipp Raich, Alexander Schirrer, Martin Kozek, Matthias Rössler y Benjamin Mörzinger. "Simulation-based Strategies for Smart Demand Response". Journal of Sustainable Development of Energy, Water and Environment Systems 6, n.º 1 (marzo de 2017): 33–46. http://dx.doi.org/10.13044/j.sdewes.d5.0168.
Texto completoDeltetto, Davide, Davide Coraci, Giuseppe Pinto, Marco Savino Piscitelli y Alfonso Capozzoli. "Exploring the Potentialities of Deep Reinforcement Learning for Incentive-Based Demand Response in a Cluster of Small Commercial Buildings". Energies 14, n.º 10 (19 de mayo de 2021): 2933. http://dx.doi.org/10.3390/en14102933.
Texto completoChen, Tang, Sun, Zhou, Wang y Mao. "Reliability Evaluation Method Considering Demand Response (DR) of Household Electrical Equipment in Distribution Networks". Processes 7, n.º 11 (3 de noviembre de 2019): 799. http://dx.doi.org/10.3390/pr7110799.
Texto completoLiu, Shuxin, Jing Xu, Chaojian Xing, Yang Liu, Ersheng Tian, Jia Cui y Junzhu Wei. "Study on Dynamic Pricing Strategy for Industrial Power Users Considering Demand Response Differences in Master–Slave Game". Sustainability 15, n.º 16 (11 de agosto de 2023): 12265. http://dx.doi.org/10.3390/su151612265.
Texto completoMuraña-Silvera, Jonathan, Sergio Enrique Nesmachnow-Cánovas, Santiago Damián Iturriaga-Fabra, Sebastián Montes De Oca, Gonzalo Belcredi, Pablo Ariel Monzón-Rangeloff, Vladimir Dmitrievitch Shepelev y Andrei Nikolaevitch Tchernykh. "Smart grid demand response strategies for datacenters". Proceedings of the Institute for System Programming of the RAS 33, n.º 2 (2021): 125–36. http://dx.doi.org/10.15514/ispras-2021-33(2)-7.
Texto completoLahrsen, Inga-Marie, Mathias Hofmann y Robert Müller. "Flexibility of Epichlorohydrin Production—Increasing Profitability by Demand Response for Electricity and Balancing Market". Processes 10, n.º 4 (13 de abril de 2022): 761. http://dx.doi.org/10.3390/pr10040761.
Texto completoZhang, Pan, Xun Dou, Wenhao Zhao, Mingtao Hu y Xin Zhang. "Analysis of Power Sales Strategies Considering Price-Based Demand Response". Energy Procedia 158 (febrero de 2019): 6701–6. http://dx.doi.org/10.1016/j.egypro.2019.01.019.
Texto completoPansota, Muhammad Shahzad, Haseeb Javed, H. A. Muqeet, Hamza Ali Khan, Naveed Ahmed, Muhammad Usama Nadeem, Syed Usman Faheem Ahmed y Ali Sarfraz. "An Optimal Scheduling and Planning of Campus Microgrid Based on Demand Response and Battery Lifetime". Pakistan Journal of Engineering and Technology 4, n.º 3 (30 de septiembre de 2021): 8–17. http://dx.doi.org/10.51846/vol4iss3pp8-17.
Texto completoAhmed, Emad M., Rajarajeswari Rathinam, Suchitra Dayalan, George S. Fernandez, Ziad M. Ali, Shady H. E. Abdel Aleem y Ahmed I. Omar. "A Comprehensive Analysis of Demand Response Pricing Strategies in a Smart Grid Environment Using Particle Swarm Optimization and the Strawberry Optimization Algorithm". Mathematics 9, n.º 18 (21 de septiembre de 2021): 2338. http://dx.doi.org/10.3390/math9182338.
Texto completoMugnini, Alice, Fabio Polonara y Alessia Arteconi. "Demand response strategies in residential buildings clusters to limit HVAC peak demand". E3S Web of Conferences 312 (2021): 09001. http://dx.doi.org/10.1051/e3sconf/202131209001.
Texto completoKumar, Sampath y M. Sushama. "Strategic demand response framework for energy management in distribution system based on network loss sensitivity". Energy & Environment 31, n.º 8 (21 de enero de 2020): 1385–402. http://dx.doi.org/10.1177/0958305x19893041.
Texto completoAgrawal, Anjali, Seema N. Pandey, Laxmi Srivastava, Pratima Walde, R. K. Saket y Baseem Khan. "Multiobjective Salp Swarm Algorithm Approach for Transmission Congestion Management". International Transactions on Electrical Energy Systems 2022 (7 de diciembre de 2022): 1–17. http://dx.doi.org/10.1155/2022/8256908.
Texto completoKou, Xiao, Yan Du, Fangxing Li, Hector Pulgar-Painemal, Helia Zandi, Jin Dong y Mohammed M. Olama. "Model-Based and Data-Driven HVAC Control Strategies for Residential Demand Response". IEEE Open Access Journal of Power and Energy 8 (2021): 186–97. http://dx.doi.org/10.1109/oajpe.2021.3075426.
Texto completoPanagiotidis, Paraskevas, Andrew Effraimis y George A. Xydis. "An R-based forecasting approach for efficient demand response strategies in autonomous micro-grids". Energy & Environment 30, n.º 1 (10 de julio de 2018): 63–80. http://dx.doi.org/10.1177/0958305x18787259.
Texto completoCloss, David J., Anthony S. Roath, Thomas J. Goldsby, James A. Eckert y Stephen M. Swartz. "An Empirical Comparison of Anticipatory and Response‐Based Supply Chain Strategies". International Journal of Logistics Management 9, n.º 2 (1 de julio de 1998): 21–34. http://dx.doi.org/10.1108/09574099810805816.
Texto completoWang, Qi, Hongru Wang, Lei Zhu, Xingquan Wu y Yi Tang. "A Multi-Communication-Based Demand Response Implementation Structure and Control Strategy". Applied Sciences 9, n.º 16 (7 de agosto de 2019): 3218. http://dx.doi.org/10.3390/app9163218.
Texto completoLi, Qifen, Yihan Zhao, Yongwen Yang, Liting Zhang y Chen Ju. "Demand-Response-Oriented Load Aggregation Scheduling Optimization Strategy for Inverter Air Conditioner". Energies 16, n.º 1 (28 de diciembre de 2022): 337. http://dx.doi.org/10.3390/en16010337.
Texto completoTang, Qiang, Ming-zhong Xie, Kun Yang, Yuan-sheng Luo y Ping Li. "Price Learning Based Load Distribution Strategies for Demand Response Management in Smart Grid". International Journal of Smart Home 10, n.º 11 (30 de noviembre de 2016): 79–94. http://dx.doi.org/10.14257/ijsh.2016.10.11.08.
Texto completoLi, Ming y Jin Ye. "Design and Implementation of Demand Side Response Based on Binomial Distribution". Energies 15, n.º 22 (11 de noviembre de 2022): 8431. http://dx.doi.org/10.3390/en15228431.
Texto completoChen, Yongbao, Zhe Chen, Xiaolei Yuan, Lin Su y Kang Li. "Optimal Control Strategies for Demand Response in Buildings under Penetration of Renewable Energy". Buildings 12, n.º 3 (17 de marzo de 2022): 371. http://dx.doi.org/10.3390/buildings12030371.
Texto completoCruz, Carlos, Esther Palomar, Ignacio Bravo y Alfredo Gardel. "Towards Sustainable Energy-Efficient Communities Based on a Scheduling Algorithm". Sensors 19, n.º 18 (14 de septiembre de 2019): 3973. http://dx.doi.org/10.3390/s19183973.
Texto completoYao, Yin, Yedong Zhu, Dongdong Li, Bo Zhou y Shunfu Lin. "Priority Analysis of Influence Factors for Electric Vehicle Demand Response Strategies". International Transactions on Electrical Energy Systems 2023 (21 de marzo de 2023): 1–15. http://dx.doi.org/10.1155/2023/7242304.
Texto completoZhang, Chunyu, Qi Wang, Jianhui Wang, Pierre Pinson, Juan M. Morales y Jacob Ostergaard. "Real-Time Procurement Strategies of a Proactive Distribution Company With Aggregator-Based Demand Response". IEEE Transactions on Smart Grid 9, n.º 2 (marzo de 2018): 766–76. http://dx.doi.org/10.1109/tsg.2016.2565383.
Texto completoLin, Yen, Jeng-Ywan Jeng, Yi-Yu Liu y Jheng-Jia Huang. "A Review of PCI Express Protocol-Based Systems in Response to 5G Application Demand". Electronics 11, n.º 5 (23 de febrero de 2022): 678. http://dx.doi.org/10.3390/electronics11050678.
Texto completoTéllez-Gutiérrez, Sandra y Oscar Duarte-Velasco. "A Model for Quantifying Expected Effects of Demand-Side Management Strategies". TecnoLógicas 25, n.º 54 (22 de junio de 2022): e2357. http://dx.doi.org/10.22430/22565337.2357.
Texto completoJu, Yuchen, Joakim Lindholm, Moritz Verbeck, Juha Jokisalo, Risto Kosonen, Philipp Janßenc, Yantong Li, Hans Schäfers y Natasa Nord. "Demand response in the German district heating system". IOP Conference Series: Earth and Environmental Science 1185, n.º 1 (1 de mayo de 2023): 012016. http://dx.doi.org/10.1088/1755-1315/1185/1/012016.
Texto completoKiptoo, Mark Kipngetich, Oludamilare Bode Adewuyi, Harun Or Rashid Howlader, Akito Nakadomari y Tomonobu Senjyu. "Optimal Capacity and Operational Planning for Renewable Energy-Based Microgrid Considering Different Demand-Side Management Strategies". Energies 16, n.º 10 (17 de mayo de 2023): 4147. http://dx.doi.org/10.3390/en16104147.
Texto completoSalo, Sonja, Aira Hast, Juha Jokisalo, Risto Kosonen, Sanna Syri, Janne Hirvonen y Kristian Martin. "The Impact of Optimal Demand Response Control and Thermal Energy Storage on a District Heating System". Energies 12, n.º 9 (3 de mayo de 2019): 1678. http://dx.doi.org/10.3390/en12091678.
Texto completoStich, Jean-François, Samuel Farley, Cary Cooper y Monideepa Tarafdar. "Information and communication technology demands: outcomes and interventions". Journal of Organizational Effectiveness: People and Performance 2, n.º 4 (7 de diciembre de 2015): 327–45. http://dx.doi.org/10.1108/joepp-09-2015-0031.
Texto completoXu, Chenhui y Yunkai Huang. "Integrated Demand Response in Multi-Energy Microgrids: A Deep Reinforcement Learning-Based Approach". Energies 16, n.º 12 (16 de junio de 2023): 4769. http://dx.doi.org/10.3390/en16124769.
Texto completoDhaliwal, Amandeep y Shilpa Arora. "Rapid Response Logistics". International Journal of Service Science, Management, Engineering, and Technology 12, n.º 6 (noviembre de 2021): 73–88. http://dx.doi.org/10.4018/ijssmet.2021110105.
Texto completoAbbasi, Ayesha, Kiran Sultan, Sufyan Afsar, Muhammad Adnan Aziz y Hassan Abdullah Khalid. "Optimal Demand Response Using Battery Storage Systems and Electric Vehicles in Community Home Energy Management System-Based Microgrids". Energies 16, n.º 13 (28 de junio de 2023): 5024. http://dx.doi.org/10.3390/en16135024.
Texto completoLi, Yuchun, Yinghua Han, Jinkuan Wang y Qiang Zhao. "A MBCRF Algorithm Based on Ensemble Learning for Building Demand Response Considering the Thermal Comfort". Energies 11, n.º 12 (14 de diciembre de 2018): 3495. http://dx.doi.org/10.3390/en11123495.
Texto completoLee, Wonjoo, Jae Hoon Lim y Kwang Min Moon. "Impact of Fire Demand on Fire Service Budget". Fire Science and Engineering 34, n.º 4 (31 de agosto de 2020): 125–34. http://dx.doi.org/10.7731/kifse.5d63e027.
Texto completoGe, Xianlong, Guiqin Xue y Pengzhe Wen. "Proactive Two-Level Dynamic Distribution Routing Optimization Based on Historical Data". Mathematical Problems in Engineering 2018 (21 de noviembre de 2018): 1–15. http://dx.doi.org/10.1155/2018/5191637.
Texto completoHou, Wanxin, Shaowen Qin y Campbell Henry Thompson. "Effective Response to Hospital Congestion Scenarios: Simulation-Based Evaluation of Decongestion Interventions". International Journal of Environmental Research and Public Health 19, n.º 23 (6 de diciembre de 2022): 16348. http://dx.doi.org/10.3390/ijerph192316348.
Texto completoCapone, Martina y Elisa Guelpa. "Implementing Optimal Operation of Multi-Energy Districts with Thermal Demand Response". Designs 7, n.º 1 (10 de enero de 2023): 11. http://dx.doi.org/10.3390/designs7010011.
Texto completoChantzis, Georgios, Effrosyni Giama y Agis M. Papadopoulos. "Building Energy Flexibility Assessment in Mediterranean Climatic Conditions: The Case of a Greek Office Building". Applied Sciences 13, n.º 12 (17 de junio de 2023): 7246. http://dx.doi.org/10.3390/app13127246.
Texto completoLiu, Yuemei y Xuetao Zhao. "Design Flow of English Learning System Based on Item Response Theory". International Journal of Emerging Technologies in Learning (iJET) 12, n.º 12 (20 de diciembre de 2017): 91. http://dx.doi.org/10.3991/ijet.v12i12.7958.
Texto completoGüner, Sıtkı, Ayşe Kübra Erenoğlu, İbrahim Şengör, Ozan Erdinç y João P. S. Catalão. "Effects of On-Site PV Generation and Residential Demand Response on Distribution System Reliability". Applied Sciences 10, n.º 20 (12 de octubre de 2020): 7062. http://dx.doi.org/10.3390/app10207062.
Texto completoLowson, Robert H. "Retail Operational Strategies in Complex Supply Chains". International Journal of Logistics Management 12, n.º 1 (1 de enero de 2001): 97–111. http://dx.doi.org/10.1108/09574090110806253.
Texto completoSpeake, Andrew, Paul Donohoo-Vallett, Eric Wilson, Emily Chen y Craig Christensen. "Residential Natural Gas Demand Response Potential during Extreme Cold Events in Electricity-Gas Coupled Energy Systems". Energies 13, n.º 19 (5 de octubre de 2020): 5192. http://dx.doi.org/10.3390/en13195192.
Texto completoWang, Zhanle, Raman Paranjape, Zhikun Chen y Kai Zeng. "Multi-Agent Optimization for Residential Demand Response under Real-Time Pricing". Energies 12, n.º 15 (25 de julio de 2019): 2867. http://dx.doi.org/10.3390/en12152867.
Texto completoMorovat, Navid, Andreas K. Athienitis, José Agustín Candanedo y Benoit Delcroix. "Model-Based Control Strategies to Enhance Energy Flexibility in Electrically Heated School Buildings". Buildings 12, n.º 5 (30 de abril de 2022): 581. http://dx.doi.org/10.3390/buildings12050581.
Texto completoZhang, Yan, Yajie Liu, Bo Guo, Tao Zhang y Rui Wang. "Model predictive control-based operation management for a residential microgrid with considering forecast uncertainties and demand response strategies". IET Generation, Transmission & Distribution 10, n.º 10 (7 de julio de 2016): 2367–78. http://dx.doi.org/10.1049/iet-gtd.2015.1127.
Texto completoRuiz-Abellón, María Carmen, Luis Alfredo Fernández-Jiménez, Antonio Guillamón, Alberto Falces, Ana García-Garre y Antonio Gabaldón. "Integration of Demand Response and Short-Term Forecasting for the Management of Prosumers’ Demand and Generation". Energies 13, n.º 1 (18 de diciembre de 2019): 11. http://dx.doi.org/10.3390/en13010011.
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