Optimal Operation of Integrated Energy System Considering Carbon Emission: A Case Study with Deep Reinforcement Learning
Author:
Affiliation:
1. Guangdong Power Grid Corporation,Zhuhai Power Supply Bureau,Zhuhai,China
2. University of Macau Zhuhai UM Science & Technology Research Institute,Smart City R&D Center,Zhuhai,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10601630/10601669/10602086.pdf?arnumber=10602086
Reference20 articles.
1. Low carbon optimal operation of integrated energy system based on carbon capture technology, LCA carbon emissions and ladder-type carbon trading
2. A two-stage energy management for heat-electricity integrated energy system considering dynamic pricing of Stackelberg game and operation strategy optimization
3. Application of energy storage in integrated energy systems — A solution to fluctuation and uncertainty of renewable energy
4. Deep Reinforcement Learning-Based Self-Scheduling Strategy for a CAES-PV System Using Accurate Sky Images-Based Forecasting
5. Combined Approach for Short-Term Wind Power Forecasting Based on Wave Division and Seq2Seq Model Using Deep Learning
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