The electricity market operation in the smart grid requires a certain level of intelligence by the agents. The operation of multiple agents in the market is different under various scenarios where the machine learning/game theory approach exhibited by the agents plays a major role. The best learning model for smart grids incorporating the deregulated market structure is reinforcement learning. Significant strategic techniques are underway for efficient smarter grid operation and control is the research focus for the future power grid.
Department of Electrical and Electronics Engineering, Coimbatore
Awareness of machine learning techniques and electricity market functioning.
Associate Professor