Load Data Valuation in Multi-Energy Systems: An End-to-End Approach-Reference-Cited by-同舟云学术

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Load Data Valuation in Multi-Energy Systems: An End-to-End Approach

Published:2024-09 Issue:5 Volume:15 Page:4564-4575
ISSN:1949-3053
Container-title:IEEE Transactions on Smart Grid
language:
Short-container-title:IEEE Trans. Smart Grid

Author:

Zhou Yangze¹^ORCID,Wen Qingsong²,Song Jie³^ORCID,Cui Xueyuan¹^ORCID,Wang Yi¹^ORCID

Affiliation:

1. Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, SAR, China

2. DAMO Academy, Alibaba Group (U.S.) Inc., Bellevue, WA, USA

3. Department of Industrial Engineering and Management, College of Engineering, Peking University, Beijing, China

Funder

Research Grants Council of the Hong Kong SAR

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5165411/10643567/10508249.pdf?arnumber=10508249

Reference36 articles.

1. Review and prospect of data-driven techniques for load forecasting in integrated energy systems

2. Can cross-sector information improve multi-energy demand forecasting accuracy?

3. Optimal coordinated energy dispatch of a multi-energy microgrid in grid-connected and islanded modes

4. Balance of Power: Toward a More Environmentally Friendly, Efficient, and Effective Integration of Energy Systems in China

5. A multi-energy load forecasting method based on parallel architecture CNN-GRU and transfer learning for data deficient integrated energy systems

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