Photovoltaic-Power Prediction Model Based on Quantum Long Short-Term Memory Network
Renewable Energy and Energy Storage|更新时间:2025-08-06
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Photovoltaic-Power Prediction Model Based on Quantum Long Short-Term Memory Network
“In the field of new energy, experts have proposed a quantum long short-term memory network photovoltaic power prediction model, which effectively improves prediction accuracy and provides support for power grid safety scheduling.”
Electric Power ConstructionVol. 46, Issue 1, Pages: 122-133(2025)
作者机构:
1.国网安徽省电力有限公司经济技术研究院,合肥市230022
2.本源量子计算科技(合肥)股份有限公司,合肥市231283
作者简介:
基金信息:
National Key R&D Program of China(2023YFB4502500);State Grid Anhui Electric Power Co.,Ltd. Science and Technology Project(B31209230006)
PAN Dong,YANG Xin,SHI Tiancheng,et al.Photovoltaic-Power Prediction Model Based on Quantum Long Short-Term Memory Network[J].Electric Power Construction,2025,46(01):122-133.
PAN Dong,YANG Xin,SHI Tiancheng,et al.Photovoltaic-Power Prediction Model Based on Quantum Long Short-Term Memory Network[J].Electric Power Construction,2025,46(01):122-133. DOI: 10.12204/j.issn.1000-7229.2025.01.011.
Photovoltaic-Power Prediction Model Based on Quantum Long Short-Term Memory Network