Search Results for author: Ruinong Wang

Found 2 papers, 0 papers with code

Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach

no code implementations2 Nov 2022 Yang Li, Ruinong Wang, Yuanzheng Li, Meng Zhang, Chao Long

To handle the data privacy and openness, we propose a forecasting scheme that combines federated learning and deep reinforcement learning (DRL) for ultra-short-term wind power forecasting, called federated deep reinforcement learning (FedDRL).

Federated Learning Privacy Preserving +2

Optimal Scheduling of Isolated Microgrids Using Automated Reinforcement Learning-based Multi-period Forecasting

no code implementations15 Aug 2021 Yang Li, Ruinong Wang, Zhen Yang

In order to reduce the negative impact of the uncertainty of load and renewable energies outputs on microgrid operation, an optimal scheduling model is proposed for isolated microgrids by using automated reinforcement learning-based multi-period forecasting of renewable power generations and loads.

reinforcement-learning Reinforcement Learning (RL) +1

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