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., 2020, Model-Free Real-Time Autonomous Control for A Residential Multi-Energy System Using Deep Reinforcement Learning, IEEE Transactions on Smart Grid, ISSN:1949-3053
et al., 2019, Deep Reinforcement Learning for Strategic Bidding in Electricity Markets, Ieee Transactions on Smart Grid, Vol:11, ISSN:1949-3061, Pages:1343-1355
et al., 2019, Incorporating Non-Convex Operating Characteristics into Bi-Level Optimization Electricity Market Models, IEEE Transactions on Power Systems, ISSN:0885-8950, Pages:1-1
Ye Y, Papadaskalopoulos D, Strbac G, 2018, Investigating the Ability of Demand Shifting to Mitigate Electricity Producers' Market Power, IEEE Transactions on Power Systems, Vol:33, ISSN:0885-8950, Pages:3800-3811
Ye Y, Papadaskalopoulos D, Strbac G, 2015, Factoring Flexible Demand Non-Convexities in Electricity Markets, IEEE Transactions on Power Systems, Vol:30, ISSN:0885-8950, Pages:2090-2099