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Physics-informed baseline load estimation for high-frequency demand response

delete2025-12-09
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PRE
AI
Y
Yujie Wang
张翔昱 cover
张翔昱 (Xiangyu Zhang) *
M
Mengmeng Cai
Q
Qinran Hu
DOI：10.1016/j.apenergy.2025.127155delete
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Abstract

Abstract

En 中文
• A physics-informed semi-supervised learning framework for HFDR baseline estimation. • A thermodynamics first principle based mapping mechanism for unobservable loads. • Mutual information maximization integrated generation for minimal data acquisition. • Accurate baseline estimation under data scarcity where traditional methods fail.

Journal

Applied Energy cover
Applied Energy
IF:
11
Papers:
2.6W
Citations:
17.8W

Organization

No organization information available