Long-term path planning with optimal deployment of a charging station for monitoring photovoltaic solar farms
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shaanxi Province
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-68160-w.pdf
Reference32 articles.
1. Shubbak, M. H. Advances in solar photovoltaics: Technology review and patent trends. Renew. Sustain. Energy Rev. 115, 109383. https://doi.org/10.1016/j.rser.2019.109383 (2019).
2. Luo, X. et al. Optimal path planning for UAV based inspection system of large-scale photovoltaic farm. In Proceedings of the 2017 Chinese Automation Congress (CAC), Jinan, China 4495–4500. https://doi.org/10.1109/CAC.2017.8243572 (2017).
3. Ding, Y. et al. Density-based optimal UAV path planning for photovoltaic farm inspection in complex topography. In Proceedings of the 2020 Chinese Control and Decision Conference (CCDC), Hefei, China 3931–3936. https://doi.org/10.1109/CCDC49329.2020.9164257 (2020).
4. Tan, C. S., Mohd-Mokhtar, R. & Arshad, M. R. A comprehensive review of coverage path planning in robotics using classical and heuristic algorithms. IEEE Access 9, 119310–119342. https://doi.org/10.1109/ACCESS.2021.3108177 (2021).
5. Pérez-González, A., Benítez-Montoya, N., Jaramillo-Duque, Á. & Cano-Quintero, J. B. Coverage path planning with semantic segmentation for UAV in PV plants. Appl. Sci. 11(24), 12093. https://doi.org/10.3390/app112412093 (2021).
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