Wushan
Guangzhou, AR 510640
China
South China University of Technology
Power system, renewable energy, multi-objective optimization (MOO), stochastic optimization
Demand response, deep reinforcement learning, multi-agent, continuous action control
park-level integrated energy system, multi-attribute decision analysis, optimal design, load characteristics
Demand response, Power system, User utility functions, Parallel Group Search Optimizer (PGSO)
False data injection attacks (FDIAs), network embedding, State estimation, power system
Data-driven, dynamic mode decomposition, Kalman filter, dynamic state estimation, sensor fault-tolerant control
Demand response, power system, user utility functions, Parallel Group Search Optimizer (PGSO)
Energy and reserve scheduling, low-carbon operation, wind power uncertainty, worst-case CVaR