Tao Liang

A novel wind speed prediction strategy based on Bi-LSTM, MOOFADA and transfer learning for centralized control centers

Tao Liang, Qing Zhao, Qingzhao Lv et al. · Energy · 2021 · 119 citations

Engineering, Wind Power Generation, Data Science +8

Real-time optimization of large-scale hydrogen production systems using off-grid renewable energy: Scheduling strategy based on deep reinforcement learning

Tao Liang, Lulu Chai, Xin Cao et al. · Renewable Energy · 2024 · 59 citations

Engineering, Deep Reinforcement Learning, Energy Efficiency +7

Dynamic optimization of an integrated energy system with carbon capture and power-to-gas interconnection: A deep reinforcement learning-based scheduling strategy

Tao Liang, Lulu Chai, Jianxin Tan et al. · Applied Energy · 2024 · 59 citations

Engineering, Deep Reinforcement Learning, Intelligent Energy System +9

Deep reinforcement learning-based optimal scheduling of integrated energy systems for electricity, heat, and hydrogen storage

Tao Liang, Xiaochan Zhang, Jianxin Tan et al. · Electric Power Systems Research · 2024 · 51 citations

Engineering, Deep Reinforcement Learning, Intelligent Energy System +6

Application of Parameter Optimized Variational Mode Decomposition Method in Fault Feature Extraction of Rolling Bearing

Tao Liang, Hao Lu, Hexu Sun · Entropy · 2021 · 50 citations · Full text