SOLAR POWER SYSTEM PRODUCTION FORECASTING ON MICROGRID SYSTEM USING PHYSICS-INFORMED MACHINE LEARNING METHOD
The uncertainty and stochastic nature of solar energy pose challenges in maintaining power quality and system stability in microgrids. Solar power generation is influenced by complex external factors such as solar radiation, ambient temperature, and sun position. Therefore, accurate prediction of...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/81490 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
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