Bayesian deep neural networks for spatio-temporal probabilistic optimal power flow with multi-source renewable energy
2023 · Applied Energy · 28 citations
https://doi.org/10.1016/j.apenergy.2023.122106
F
Fang Gao
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Fang Gao is an academic researcher from Guangxi University. The author has contributed to research in topics: Laser-Matter Interactions and Applications & Quantum Information and Cryptography & Quantum Computing Algorithms and Architecture. The author has an h-index of 19, co-authored 119 publications.
ORCID: 0000-0003-1816-5420Papers by this author
worksFlexible power point tracking for photovoltaic systems based on the linear jump method
2025 · Energy Conversion and Management · 3 citations
https://doi.org/10.1016/j.enconman.2025.119805
CTSC: Infrared image colorization with topology-aware semantic consistency
2025 · Optics and Lasers in Engineering · 2 citations
https://doi.org/10.1016/j.optlaseng.2025.109017
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