Combined use of long short‐term memory neural network and quantum computation for hierarchical forecasting of locational marginal prices
Abstract Accurate locational marginal price forecasting (LMPF) is crucial for the efficient allocation of resources. Nevertheless, the sudden changes in LMP make it inadequate for many existing long short‐term memory (LSTM) network‐based prediction models to achieve the required accuracy for practic...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-02-01
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| Series: | Energy Conversion and Economics |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/enc2.70004 |
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