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Journal of Electric Power Science and Technology (dianli kexue yu jishu xuebao) is an open-access academic journal that comprehensively reports the latest research results in the theoretical and applied aspects of electric power science and engineering technology, and introduces the development trends of electric power science and technology at home and abroad. The journal has been included in multiple databases, including the China Science Citation Database (CSCD), Peking University Core Journals, Chinese Science and Technology Core Journals, Research Center for Chinese Science Evaluation (RCCSE), CNKI, Wanfang Data, CA, and JST.

See the Aims and Scope for a complete coverage of the journal.

Current Issue: Volume 38, Issue 6 (2023)

Famous Host

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A refined power management and control model considering the production characteristics of industrial users and its empirical research
Shijie SUN, Chengjin YE, Chao GUO, Yi DING, Qingsheng LI, Zhen LI, Yongqing ZHU, and Yan ZHANG

Scientific Research

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Transformer early fault diagnosis based on improved VMD denoising and optimized ELM method
Jianfeng LIU, Mengqi LIU, Qianwen DONG, Zhicong MEI, and Hai ZHOU

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Frequency reduction model predictive control of MMC under unbalanced grid voltage condition
Chunlin WANG, Tao ZHAO, You XU, Jing CHEN, Hao SUN, and Guipu LI

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A traveling‑wave fault location method based on CEEMDAN and NTEO for distribution networks
Xiaofeng MA, Jun AN, Zhiqiang GAO, Bingzhen REN, Qiang LONG, Xia LEI, and Tao WANG

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A method for leakage current denoising based on improved empirical mode decomposition
Xiaodi CHEN, Junxiong WANG, Yunzhu AN, Yutao WU, and Haohan YANG

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XGBoost‑based assessment method for fire risk levels of transmission lines
Hao LUO, Qi YANG, Weiyu WANG, Yonghui LIU, Zhenzhen XIAO, and Dongchai YANG

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Active distribution network operating situation prediction based on ICEEMDAN‑TA‑LSTM model
Shu LIU, Shangkun YAO, Min ZHOU, Feng ZHU, Shuxin TIAN, and Wenyuan XIAO

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Comprehensive evaluation method of high‑voltage harmonics in typical scenarios considering time series trend characteristics
Weiwei JING, Hui FU, Weitian CHENG, Liu YANG, Mingming SHI, Yi HUANG, and Sen OUYANG

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Distributionally robust optimization for the power allocation of AC/DC parallel transmission channels
Sen HE, Jie LIU, Qi WANG, Zhenzhen ZHOU, An CHANG, Yaohui XIAO, Weikun LIANG, Shunjiang LIN, and Ping DONG

Technology Application