Framework design and empirical analysis of intelligent scheduling system for high-altitude photovoltaic power generation based on mixed optimization of long-nosed raccoon optimization algorithm and black winged kite optimization algorithm (COA-BKA).

Heng Hu|Xiaoming Xiong|Shuang Wang|Taidong Yan|Yuancheng Zhang|Shuang Gan


Anthology ID:DBLP:journals/ir/HuXWYZG25
Year:2025
Venue:Discover Computing
Pages:47
URL:https://doi.org/10.1007/S10791-025-09558-6
DOI:https://doi.org/10.1007/S10791-025-09558-6
DBLP:journals/ir/HuXWYZG25
BibTeX:
@article{hu-2025-framework, author = {Heng Hu and Xiaoming Xiong and Shuang Wang and Taidong Yan and Yuancheng Zhang and Shuang Gan}, title = {{Framework design and empirical analysis of intelligent scheduling system for high-altitude photovoltaic power generation based on mixed optimization of long-nosed raccoon optimization algorithm and black winged kite optimization algorithm (COA-BKA)}}, journal = {Discover Computing}, volume = {28}, number = {1}, pages = {47}, year = {2025}, url = {https://doi.org/10.1007/S10791-025-09558-6}, doi = {https://doi.org/10.1007/S10791-025-09558-6} }