Oxford Road
Manchester, N/A M13 9PL
United Kingdom
The University of Manchester
Integrated Energy Systems, Demand response, Uncertainty and cyberattacks, Large language model, Multi-agent deep reinforcement learning
Networked microgrids, Wholesale market, Cyberspace and uncertainty, Large language model, Multi-agent deep reinforcement learning
Hybrid AC/DC microgrids, Cyberattacks, Federated deep reinforcement learning, Policy protection
Energy management, Residential energy communities, Peer-to-peer trading and Demand response, Multi-agent reinforcement learning, Blockchain-based market
Microgrid Energy Market, Secure Pricing, Cyber Attacks and Uncertainty, Hybrid Energy Storage System, Large Language Model, Blockchain
Energy storage systems, Integrated Energy Systems, Demand response, Uncertainty and cyberattacks, Large language model, Multi-agent deep reinforcement learning
Microgrid, Hybrid cyber-attacks, Load to grid services, Energy market, Bayesian multi-agent deep reinforcement learning.
Microgrid, Supervisory power management, Voltage and frequency control, Demand response, Uncertainty.
Heterogeneous energy storage, Storage-supported demand response, Integrated energy systems, Cyber-physical resilience, Dynamic uncertainty, Real-time service deliverability.
Integrated Energy Systems, Demand Response, Large language models, Multi-Agent deep reinforcement learning, Hybrid cyberattacks and uncertainty, Risk-aware control