Research on the Influence of Genetic Algorithm Parameters on XGBoost in Load Forecasting
Electric load forecasting is crucial in a power system comprising electricity generation, transmission, distribution, and retail. Due to its high accuracy, the ensemble learning method XGBoost has been widely applied in load forecasting. XGBoost's performance depends on its hyperparameters and...
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| Published in: | Engineering, technology & applied science research Vol. 14; no. 6; pp. 18849 - 18854 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
02.12.2024
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| ISSN: | 2241-4487, 1792-8036 |
| Online Access: | Get full text |
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