Wang, Ying
Dong, Xun
Wang, Jian
Funding for this research was provided by:
Shanghai 2021 Science and Technology Innovation Action Plan (No. 21DZ1208800)
Article History
Received: 18 August 2025
Accepted: 16 October 2025
First Online: 30 January 2026
Declarations
:
: Ethical approval is not applicable to this study. The research exclusively involves computational modeling, optimization algorithms, and simulation-based analysis of hybrid energy systems. No human participants, animal subjects, or sensitive data collections requiring ethical review were involved. Consent to participate is not required. This study utilizes anonymized, publicly available building energy demand datasets and meteorological data for system simulations. No individual-level data or personal identifiers are included in the analysis.
: All authors provide explicit consent for the publication of this manuscript. The submitted work is original, has not been published elsewhere, and all coauthors approve its submission to this journal. The manuscript contains no proprietary data requiring third-party consent for publication.
: The authors declare no competing interests.