Forecasting renewable energy for microgrids using machine learning

Forecasting renewable energy for microgrids using machine learning

Abstract Microgrids, comprised of interconnected loads and distributed energy resources, function as single controllable entities with respect to the main grid. However, the inherent variability of distributed wind and solar generation within microgrids presents operational stability challenges conc...

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Bibliographic Details
Main Authors: Piyumi Sudasinghe, Damayanthi Herath, Isiwara Karunarathne, Hansani Weeratunge, Lahiru Jayasuriya
Format: Article
Language:English
Published: Springer 2025-05-01
Series:Discover Applied Sciences
Subjects:
Machine learning
Renewable energy forecasting
PV energy
Wind speed
Microgrid
1-D CNN
Online Access:https://doi.org/10.1007/s42452-025-06895-5
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https://doi.org/10.1007/s42452-025-06895-5

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