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Self-learning demand side management for a heterogeneous cluster of devices with binary control actions., , , and . ISGT Europe, page 1-8. IEEE, (2012)A Flexible Stochastic Optimization Method for Wind Power Balancing With PHEVs., , , and . IEEE Trans. Smart Grid, 5 (3): 1238-1245 (2014)Peak shaving of a heterogeneous cluster of residential flexibility carriers using reinforcement learning., , , , and . ISGT Europe, page 1-5. IEEE, (2013)Residential Demand Response Applications Using Batch Reinforcement Learning., , , , , and . CoRR, (2015)Sequential decision-making strategy for a demand response aggregator in a two-settlement electricity market., , , and . ECC, page 1229-1235. IEEE, (2016)Double-layered control methodology combining price objective and grid constraints., , , , , , and . SmartGridComm, page 25-30. IEEE, (2013)Model-Free Control of Thermostatically Controlled Loads Connected to a District Heating Network., , , and . CoRR, (2017)Direct Load Control of Thermostatically Controlled Loads Based on Sparse Observations Using Deep Reinforcement Learning., , , , and . CoRR, (2017)Convolutional Neural Networks For Automatic State-Time Feature Extraction in Reinforcement Learning Applied to Residential Load Control., , and . CoRR, (2016)Experimental analysis of data-driven control for a building heating system., , , , and . CoRR, (2015)