2 papers
eess.SY2023
Deep Reinforcement Learning Based Optimal Energy Management of Multi-energy Microgrids with Uncertainties
Yang Cui, Yang Xu, Yang Li +2
Multi-energy microgrid (MEMG) offers an effective approach to deal with energy demand diversification and new energy consumption on the consumer side. In MEMG, it is critical to de…
eess.SP2023
Short-term power load forecasting method based on CNN-SAEDN-Res
Yang Cui, Han Zhu, Yijian Wang +2
In deep learning, the load data with non-temporal factors are difficult to process by sequence models. This problem results in insufficient precision of the prediction. Therefore,…