Physics-Based Data-Driven rSOC Modeling for Power System Operation: An Interpretability-Enhanced Hybrid Neural Network Agent (Supplementary Information)
Year: 2025
Type: article
Abstract: This is supplementary information for our manuscript entitled "Physics-Based Data-Driven rSOC Modeling for Power System Operation: An Interpretability-Enhanced Hybrid Neural Network Agent."
Author: Gu, Zhongfan
Institution: Southeast University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7092594216
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