Encoding Carbon Emission Flow in Energy Management: A Compact Constraint Learning Approach
Author:
Affiliation:
1. Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China
2. Department of Electrical Engineering, State Key Laboratory of Power Systems, Tsinghua University, Beijing, China
Funder
Key Scientific Research Project of Shanxi Energy Internet Research Institute
Shenzhen Science and Technology Innovation Program
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Renewable Energy, Sustainability and the Environment
Link
http://xplorestaging.ieee.org/ielx7/5165391/10367191/10122721.pdf?arnumber=10122721
Reference35 articles.
1. Pathway toward carbon-neutral electrical systems in China by mid-century with negative CO2 abatement costs informed by high-resolution modeling
2. Collaborative Optimization of PV Greenhouses and Clean Energy Systems in Rural Areas
3. Low-Carbon Economic Dispatch Method for Integrated Energy System Considering Seasonal Carbon Flow Dynamic Balance
4. Carbon Emission Flow From Generation to Demand: A Network-Based Model
5. Modeling Carbon Emission Flow in Multiple Energy Systems
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