Optimization-driven extreme learning machine for floating photovoltaic power prediction: A teaching learning-based approach
Accurate power prediction for floating photovoltaic (FPV) systems is essential for reliable grid integration, yet existing forecasting methods suffer from suboptimal parameter configuration, excessive computational demands, and poor performance under dynamic conditions. This study presents a novel T...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Physics
2025
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/45379/ |