Research on scheduling potential analysis and optimal scheduling strategy of resident electric water heater
暂无分享,去创建一个
[1] Wei Cao,et al. Direct Load Control in Microgrids to Enhance the Performance of Integrated Resources Planning , 2014, IEEE Transactions on Industry Applications.
[2] C. Gouveia,et al. Optimizing PV self-consumption through electric water heater modeling and scheduling , 2015, 2015 IEEE Eindhoven PowerTech.
[3] S. Ali Pourmousavi,et al. Multi-Timescale Power Management for Islanded Microgrids Including Storage and Demand Response , 2015, IEEE Transactions on Smart Grid.
[4] R. Belmans,et al. Reinforcement Learning Applied to an Electric Water Heater: From Theory to Practice , 2015, IEEE Transactions on Smart Grid.
[5] N. Lu,et al. A state-queueing model of thermostatically controlled appliances , 2004 .
[6] Ruisheng Diao,et al. Electric water heater modeling and control strategies for demand response , 2012, 2012 IEEE Power and Energy Society General Meeting.
[7] Bart De Schutter,et al. Residential Demand Response of Thermostatically Controlled Loads Using Batch Reinforcement Learning , 2017, IEEE Transactions on Smart Grid.