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Efficient day-ahead energy forecasting for microgrids using LSTM optimized by grey wolf algorithm

As distributed energy resources become increasingly integrated into power systems, accurate day-ahead load-forecasting is essential for effective microgrid (MG) management—enabling optimized energy generation, reduced reliance on the main grid. However, forecasting energy demand remains a significan...

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Principais autores: Ahmed Khayat, Mohammed Kissaoui, Lhoussaine Bahatti, Abdelhadi Raihani, Khalid Errakkas, Youness Atifi
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2025-09-01
Serier:e-Prime: Advances in Electrical Engineering, Electronics and Energy
Fag:
Load forecasting
Machine learning
Microgrid
Energy management
Long short-term memory
Grey wolf optimizer
Online adgang:http://www.sciencedirect.com/science/article/pii/S2772671125001615
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