I am currently a Research Associate in the Power and Control research group in the Department of Electrical and Electronic Engineering at Imperial College London, U.K.
My research interests include demand side and energy storage participation in electricity markets, smart pricing mechanisms, and the development and application of market-based approaches for the coordination of operation and planning decisions in power systems, employing game theoretic, agent-based modelling and deep learning approaches.
I have over 7 years of experiences in game theoretic modelling, agent-based modelling, and deep learning algorithms.
et al., 2019, Clustering-based residential baseline estimation: a probabilistic perspective, Ieee Transactions on Smart Grid, Vol:10, ISSN:1949-3061, Pages:6014-6028
et al., Multi-period and Multi-spatial Equilibrium Analysis in Imperfect Electricity Markets: A Novel Multi-Agent Deep Reinforcement Learning Approach, Ieee Access, ISSN:2169-3536
et al., Deep Reinforcement Learning for Strategic Bidding in Electricity Markets, Ieee Transactions on Smart Grid, ISSN:1949-3061
et al., 2019, Consensus-Based Coordination of Time-Shiftable Flexible Demand, 2019 International Conference on Smart Energy Systems and Technologies (SEST), IEEE
et al., 2019, A Deep Q Network Approach for Optimizing Offering Strategies in Electricity Markets, 2019 International Conference on Smart Energy Systems and Technologies (SEST), IEEE