New Demand Response Platform with Machine Learning and Data Analytics

摘要: The current advanced information and communication technologies in smart grids let the demand response to become a valuable approach reduce power system operation costs, diminish customers’ electricity bills, enhance grid reliability. Data analytics machine learning can be utilized DR programs predict demand, recognize consumer behavior, design upcoming supply. In this chapter, recent advancements learning-based approaches like ML methods are studied. basic concepts of DA illustrated, their challenges benefits discussed. General facts latest developments unsupervised learning, supervised semi-supervised reinforcement other algorithms presented together with extensions on applications systems. Specifically, role markets for price modeling, customer behavior EV charging management is illustrated. Furthermore, some numerical examples proposed detail.