Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks
Large-scale solar energy production is still a great deal of obstruction due to the unpredictability of solar power. The intermittent, chaotic, and random quality of solar energy supply has to be dealt with by some comprehensive solar forecasting technologies. Despite forecasting for the long-term,...
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| Main Author: | Sharma, Neetan (author) |
|---|---|
| Other Authors: | Puri, Vinod (author), Mahajan, Shubham (author), Abualigah, Laith (author), Abu Zitar, Raed (author), Gandomi, Amir H. (author) |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://depot.sorbonne.ae/handle/20.500.12458/1408 |
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