Application of Seasonal Trend Decomposition using Loess and Long Short-Term Memory in Peak Load Forecasting Model in Tien Giang
Daily peak load forecasting is critical for energy providers to meet the loads of grid-connected consumers. This study proposed a Seasonal Trend decomposition using Loess combined with Long Short-Term Memory (STL-LTSM) method and compared its performance on peak forecasting of electrical energy dema...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
D. G. Pylarinos
2023-10-01
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| Series: | Engineering, Technology & Applied Science Research |
| Subjects: | |
| Online Access: | http://www.etasr.com/index.php/ETASR/article/view/6181 |