IMPROVEMENT OF THE POWER PREDICTION MODEL FOR SOLAR POWER PLANT ON MICROGRID SYSTEM USING DEEP NEURAL NETWORK MODEL AND EVENT-TRIGGERED UPDATE METHOD
Currently regulations around the world emphasize the use of renewable energy (RE) and reducing the use of fossil energy. RE that is being widely used at this time is solar energy, especially in Indonesia, because the potential for solar energy in Indonesia is quite high. However, the fluctuating cha...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/85690 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |