A hybrid deep learning framework for short-term load forecasting with improved data cleansing and preprocessing techniques
The dynamic variations in connected loads and the intermittent nature of renewable energy sources significantly impact smart grid reliability. Accurate load and generation forecasting stand pivotal for enhancing grid reliability and efficient operations. In this study, a comprehensive four-step appr...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123024018036 |
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