BOL-LPP: A Bayesian-Optimized LSTM Model for Day-Ahead Load Price Forecasting in the ERCOT Market
Precise short-term load price forecasting is critical for uninterrupted and efficient powersystem operation and energymarket performance. Although machinelearning techniques have been widely employed to predict market prices, achieving reliable dayahead load price forecasts remains challenging in pr...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Open Journal of the Computer Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11037549/ |
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