Forecast-Based Energy Management for Optimal Energy Dispatch in a Microgrid
This article describes the development of an optimal and predictive energy management system (EMS) for a microgrid with a high photovoltaic (PV) power contribution. The EMS utilizes a predictive long-short-term memory (LSTM) neural network trained on real PV power and consumption data. Optimal EMS d...
| Auteurs principaux: | , , |
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| Format: | Article |
| Langue: | English |
| Publié: |
MDPI AG
2024-01-01
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| Collection: | Energies |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/1996-1073/17/2/486 |