Interpretable Hybrid Deep Learning for Real-Time Multi-Horizon Forecasting of Load, Solar, and Wind Generation Using Multi-Source Energy and Weather Data
The proposed study introduces synthesizable hybrid deep learning architecture in real time multi-horizon load, solar, and wind power generation prediction through combination of multi-source of meteorological and power system observations. To meet the increasing demand of precise and explainable en...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Research Center of Computing & Biomedical Informatics
2025
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/51321/1/1162.pdf http://ir.unimas.my/id/eprint/51321/ https://www.jcbi.org/index.php/Main/article/view/1162 https://doi.org/10.56979/1001/2025/1162 |
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