Hybrid Deep Learning Model for Accurate Short-Term Electricity Price Forecasting
Accurate short-term electricity price forecasting (STEPF) is critical for efficient energy market operations, guiding investment strategies, resource allocation, and consumer behavior. This study introduces a hybrid deep learning approach specifically designed to improve STEPF accuracy by leveraging...
| Main Authors: | , , , , |
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| Format: | Conference Paper |
| Published: |
2025
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| Online Access: | http://hdl.handle.net/20.500.11937/97501 |