Research
Research Area
Power Forecasting & Collaborative Optimization
Source-load forecasting and data-informed collaborative optimization for modern power systems.
This area focuses on source-load forecasting and collaborative optimization for power systems.
Related projects and publications address renewable-energy output analysis, time-series forecasting, reinforcement learning, and energy-storage control.
Related Projects
Statistical Characterization and Application Analysis of Renewable Energy Output in the East China Power Grid
An East China Branch of State Grid project on statistical characterization and application analysis of renewable-energy output.
View projectRelated Publications
Decarbonizing Long-haul Heavy-duty Electric Trucks with Co-optimized Corridor Charging Hubs
Distributed deep reinforcement learning for large-scale hybrid hydrogen/electricity refueling optimization with a data-driven electrolyzer model
Nonstationary Multioutput Forecasting Framework With Adaptive Location-Aware Bayesian Sampling for Data-Scarce Smart Grids
Privacy-preserving federated ADMM for distributed OPF meets communication failures
Semantic-probabilistic co-optimization framework for distributed non-linear optimal power flow
Smart Generation Control for Interconnected Power System Based on Self-Learning Reward Function
A Preference-Based Online Reinforcement Learning With Embedded Communication Failure Solutions in Smart Grid
Distributed Deep Reinforcement Learning for Data-Driven Water Heater Model in Smart Grid
Meta Reinforcement Learning Based Adaptive and Interpretable Energy Storage Control Meets Dynamic Scenarios
Research on Statistical Characteristics of Renewable Energy in East China Power Grid Based on Output Features
An Automated Few-Shot Learning for Time-Series Forecasting in Smart Grid Under Data Scarcity
Multioutput Framework for Time-Series Forecasting in Smart Grid Meets Data Scarcity
Preference based multi-objective reinforcement learning for multi-microgrid system optimization problem in smart grid
ADMM-based OPF Problem Against Cyber Attacks in Smart Grid
Electric Water Heaters Management via Reinforcement Learning With Time-Delay in Isolated Microgrids
Multi-objective Reinforcement Learning Based Multi-microgrid System Optimisation Problem
ADMM-Based Distributed OPF Problem Meets Stochastic Communication Delay
ADMM-based Coordinated Decentralized Voltage Control Meets Practical Communication Systems
The Coordinated Voltage Control Meets Imperfect Communication System