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...
| Published in: | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
|---|---|
| Main Authors: | Ahmed Khayat, Mohammed Kissaoui, Lhoussaine Bahatti, Abdelhadi Raihani, Khalid Errakkas, Youness Atifi |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
|
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772671125001615 |
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