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Shape-Based Approach to Household Load Curve Clustering and Prediction
Consumer Demand Response (DR) is an important research and industry problem, which seeks to categorize, predict and modify consumer's energy consumption.
Optimal Demand Response Using Device Based Reinforcement Learning
Demand response (DR) for residential and small commercial buildings is estimated to account for as much as 65% of the total energy savings potential of DR, and previous work shows that a fully automated Energy Management System (EMS) is a necessary prerequisite to DR in these areas.
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