Short-Term Electrical Load Forecasting Using an Enhanced Extreme Learning Machine Based on the Improved Dwarf Mongoose Optimization Algorithm
Accurate short-term electrical load forecasting is crucial for the stable operation of power systems. Given the nonlinear, periodic, and rapidly changing characteristics of short-term power load forecasts, this paper introduces a novel forecasting method employing an Extreme Learning Machine (ELM) e...
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| Published in: | Symmetry (Basel) Vol. 16; no. 5; p. 628 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Basel
MDPI AG
01.05.2024
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| Subjects: | |
| ISSN: | 2073-8994, 2073-8994 |
| Online Access: | Get full text |
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