Deep Reinforcement Learning Based Optimal Energy Management of Multi-energy Microgrids with Uncertainties

no code implementations • 30 Nov 2023 • Yang Cui, Yang Xu, Yang Li, Yijian Wang, Xinpeng Zou

To help EMS formulate optimal dispatching schemes, a deep reinforcement learning (DRL)-based MEMG energy management scheme with renewable energy source (RES) uncertainty is proposed in this paper.

energy management Management +1

Short-term power load forecasting method based on CNN-SAEDN-Res

no code implementations • 2 Sep 2023 • Yang Cui, Han Zhu, Yijian Wang, Lu Zhang, Yang Li

In this method, feature extraction module is composed of a two-dimensional convolutional neural network, which is used to mine the local correlation between data and obtain high-dimensional data features.

Load Forecasting Time Series

Collaborative Optimization of Multi-microgrids System with Shared Energy Storage Based on Multi-agent Stochastic Game and Reinforcement Learning

no code implementations • 19 Jun 2023 • Yijian Wang, Yang Cui, Yang Li, Yang Xu

The proposed MMG system framework can reduce energy fluctuations in the main grid by 1746. 5kW in 24 hours and achieve a cost reduction of 16. 21% in the test.