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A Hybrid Data-Driven Method for Low-Carbon Economic Energy Management Strategy in Electricity-Gas Coupled Energy Systems Based on Transformer Network and Deep Reinforcement Learning
Cross-Domain Energy Flow Digital Twin: A Dynamic-Symbiosis-Driven Framework for Multi-Energy-Flow Coordinated Regulation in Low-Carbon Systems Based on Three-Dimensional Energy Spatio-Temporal Graph
Data-driven optimal energy management for a wind-solar-diesel-battery-reverse osmosis hybrid energy system using a deep reinforcement learning approach
Influence of water diversion system topologies and operation scenarios on the damping characteristics of hydropower units under ultra-low frequency oscillations
Hybrid data-driven method for low-carbon economic energy management strategy in electricity-gas coupled energy systems based on transformer network and deep reinforcement learning
A novel deep reinforcement learning enabled sparsity promoting adaptive control method to improve the stability of power systems with wind energy penetration
Stability improvement of the large-scaled JAMALI power electricity system of Indonesia by using power system stabilizer based on electric Eel foraging optimization
Data-Driven Identification and Cooperative Parameters Optimization for Negative Damping Hydropower Units in Ultra-Low Frequency Oscillation Suppression
Data-adaptive Retrofit Control for Power System Stabilizer Design
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