Photovoltaic-Power Prediction Model Based on Quantum Long Short-Term Memory Network
Owing to the rapid development of new energy-generation systems，accurate photovoltaic （PV）-power forecasting is crucial in enhancing the grid’s ability to integrate solar energy. To address the insufficient accuracy of existing methods，this study proposes a quantum long short-term memory （LSTM） netw...
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| Main Author: | |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Electric Power Construction
2025-01-01
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| Series: | Dianli jianshe |
| Subjects: | |
| Online Access: | https://www.cepc.com.cn/fileup/1000-7229/PDF/1735120229262-1669362598.pdf |
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