[1] |
YIN Linfei, MENG Yujie.
Short-term wind power forecasting based on DenseNet convolutional neural networks
[J]. Integrated Intelligent Energy, 2024, 46(7): 12-20.
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[2] |
SUN Wenjie, YANG Zhile, GUO Yuanjun, YAO Wenjiao, XU Huan, ZHOU Bowen.
An estimation method for state of health of sodium-ion batteries
[J]. Integrated Intelligent Energy, 2024, 46(7): 74-80.
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[3] |
XU Zhifan, LI Huasen, LI Wenyuan, YU Kai.
State of charge prediction for lithium-ion batteries based on KF-RCMNN
[J]. Integrated Intelligent Energy, 2024, 46(7): 81-86.
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[4] |
DU Long, SHA Jianxiu, FAN Bei, HU Jingwei, LIU Zengji.
Electricity theft detection method for distribution network CPS based on cyber and physical data
[J]. Integrated Intelligent Energy, 2024, 46(5): 20-29.
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[5] |
XU Cong, HU Yongfeng, ZHANG Aiping, YOU Changfu.
Multi-load day-ahead and intra-day forecasting for integrated energy systems based on feature screening
[J]. Integrated Intelligent Energy, 2024, 46(3): 45-53.
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[6] |
JIN Li, ZHANG Li, TANG Yang, TANG Qiao, REN Juguang, YANG Kun, LIU Xiaobing.
Short-term prediction on integrated energy loads considering temperature-humidity index and coupling characteristics
[J]. Integrated Intelligent Energy, 2023, 45(7): 70-77.
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[7] |
LIU Yixian, WANG Yubin, YANG Qiang.
High fault-tolerant distribution network state estimation method based on gated graph neural network
[J]. Integrated Intelligent Energy, 2023, 45(6): 1-8.
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[8] |
YIN Linfei, LIU Jinyuan.
Smart home energy management based on artificial emotion LSTM algorithm
[J]. Integrated Intelligent Energy, 2023, 45(11): 27-35.
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[9] |
GAO Ming, HAO Yan.
Ultra-short-term load forecasting based on BiLSTM network and error correction
[J]. Integrated Intelligent Energy, 2023, 45(1): 31-40.
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[10] |
LIAO Minle, HUANG Chongyang, DAI Chengcheng, LI Hualin, FAN Gaosong.
Analysis method of electric energy substitution potential based on time series and BP neural network
[J]. Integrated Intelligent Energy, 2022, 44(3): 38-43.
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[11] |
LIU Wenhui, YAN Bowen, WU Jiang, REN Yijun, KONG Weizheng, CHEN Jiyu.
Intelligent prediction model of CFB boiler bed temperature based on parallel control theory
[J]. Integrated Intelligent Energy, 2022, 44(3): 50-57.
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[12] |
YAN Xinchun, CAO Huan, HUA Yunpeng.
Prediction on tube wall temperatures of boiler heating surfaces based on artificial intelligence
[J]. Integrated Intelligent Energy, 2022, 44(3): 58-62.
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[13] |
ZHAO Shengjun, ZHANG Kaipeng, FU Xinquan, SI YingLian, LIU Zhidong, ZHOU Dengyu.
GRU neural network load modeling based on community division
[J]. Integrated Intelligent Energy, 2022, 44(2): 15-20.
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[14] |
CHEN De, MENG Anbo, CAI Yongfeng.
Intelligent evaluation of cable harmonic loss based on CSO-BP neural network
[J]. Huadian Technology, 2021, 43(8): 41-47.
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[15] |
LI Yongqi, LEI Qikai, WANG Hao, HUA Sicong.
State of health estimation for echelon-used batteries based on BP neural network
[J]. Huadian Technology, 2021, 43(7): 42-46.
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