[1] |
Haijun WANG, Rongrong JU, Yinghua DONG.
Distributed Photovoltaic Power Interval Prediction Based on Spatio-Temporal Correlation Feature and B-LSTM Model
[J]. Electric Power, 2024, 57(7): 74-80.
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[2] |
Junying WU, Xin LU, Hong LIU, Bin ZHANG, Shouliang CHAI, Yunchun LIU, Jianan WANG.
Ultra-short-term Multi-region Power Load Forecasting Based on Spearman-GCN-GRU Model
[J]. Electric Power, 2024, 57(6): 131-140.
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[3] |
Chuanqi WANG, Liwen WU, Zhibin DENG, Weifeng DENG, Bin YANG.
Review of Icing Prediction Model and Algorithm for Overhead Transmission Lines Considering Time Cumulative Effects
[J]. Electric Power, 2024, 57(6): 153-164, 234.
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[4] |
Xianshan LI, Shengbiao DING, Fei LI, Xin LI.
Optimal Scheduling Strategy for Wind-Solar-Hydro Alliance Considering Compensation of Regulation by Hydropower
[J]. Electric Power, 2024, 57(5): 26-38.
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[5] |
Yuming YE, Qiqi QIAN, Zhengdong WAN, Jigang ZHANG.
Prediction of Transmission Line Cost Based on Embedding Method and Ensemble Learning
[J]. Electric Power, 2024, 57(5): 251-260.
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[6] |
Yan GAO, Hanbin WU, Jixin ZHANG, Huaming ZHANG, Pei ZHANG.
Day-Ahead Probabilistic Prediction Model for Photovoltaic Power Based on Combined Deep Learning
[J]. Electric Power, 2024, 57(4): 100-110.
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[7] |
Bilin SHAO, Danyang JI.
Multi-feature Short-term Prediction of Power Load Components Based on VMD-SE
[J]. Electric Power, 2024, 57(4): 162-170.
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[8] |
Wenhua ZHAN, Jianfeng CHE, Bo WANG, Yu DING.
A Grid-based Numerical Weather Prediction Method for Multi-output Prediction of Regional Photovoltaic Power
[J]. Electric Power, 2024, 57(3): 144-151.
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[9] |
Jie YAN, Jialin YANG, Hangyu WANG, Jiaoyang LU, Yongqian LIU, Lei ZHANG.
Offshore Wind Farm Wake Deflection Control Based on Adaptive Wind Condition Prediction Error
[J]. Electric Power, 2024, 57(3): 190-196.
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[10] |
Hanru LI, Zhijian LIU, Liyong LAI, Lingyu HUANG, Shiyin DING, Ren LIU, Bo TANG.
Current-carrying Capacity Probability Prediction of Overhead Transmission Line Considering Conditional Distribution Prediction Errors of Meteorological Parameters
[J]. Electric Power, 2024, 57(2): 103-114.
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[11] |
Zhuo LI, Yinzhe WANG, Lin YE, Yadi LUO, Xuri SONG, Zhenyu ZHANG.
The Application of Graph Neural Networks in Power Systems from Perspective of Perception-Prediction-Optimization
[J]. Electric Power, 2024, 57(12): 2-16.
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[12] |
Hanzhang LI, Jiangtao FENG, Pengcheng WANG, Haojie RONG, Yuhuan CHAI.
Photovoltaic Power Prediction Model Based on TDE-SO-AWM-GRU
[J]. Electric Power, 2024, 57(12): 41-49.
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[13] |
Qingbin CHEN, Genghuang YANG, Liqing GENG, Juan SU, Jingsheng SUN.
Short Term Photovoltaic Power Combination Prediction Method Based on Similar Day Selection and Data Reconstruction
[J]. Electric Power, 2024, 57(12): 71-81.
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[14] |
Laien CHEN, Xiaoyong ZENG, Zihao ZENG, Caichen CHENG, Yaoke SUN.
Temperature Prediction of Lithium-Ion Batteries Based on Physical Information and Deep Neural Network
[J]. Electric Power, 2024, 57(11): 18-25.
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[15] |
WANG Yaoping, LI Te, JIANG Kaihua, LI Wenhui, WU Qiang, WANG Yu.
Prediction of Insulator ESDD Based on Meteorological Feature Mining and AdaBoost-MEA-ELM Model
[J]. Electric Power, 2023, 56(9): 157-167.
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