( Vol 45 , Issue 08 ) | 20 Nov 2025
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( Vol 45 , Issue 08 ) | 30 Nov 2025
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering (ISSN:0258-8013) is a monthly peer-reviewed scopus-indexed journal from 1985 to present. The publisher of this journal is Chinese Society for Electrical Engineering. PCSEE committed to gathering and disseminating excellent research achievements. The journal welcomes all kind of research/review/abstract papers regarding Engineering: Electrical and Electronic Engineering.
Scopus Index (2025)
AIM AND SCOPES
Zhongguo Dianji Gongcheng Xuebao/Proceedings Of The Chinese Society Of Electrical Engineering
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Electrical Engineering
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Biological Biosystem Engineering
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Hardware-software co-design and interfacing
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Nanotechnology
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Turbines micro-turbines
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Power quality
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Energy optimization
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HVDC transmission
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Telecommunication Engineering
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Integrated Engineering
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Semiconductor chip
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Advanced control theories and applications
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FACTS devices
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High voltage engineering
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Electric drives
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Power electronics
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Electro-mechanical System Engineering
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Electronic Engineering
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Peripheral equipments
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Machine design and optimization
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Insulation systems
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Electrical machines
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Semiconductor chip
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Electronic Engineering
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Zhongguo Dianji Gongcheng Xuebao/Proceedings Of The Chinese Society Of Electrical Engineering
Hot Spot Recognition Method of Photovoltaic Infrared Thermal Image Based on Improved Selfish Herd Algorithm
Aiming at the problems of low accuracy and poor generalization ability of infrared thermal image recognition in photovoltaic power generation, a hot spot recognition method based on infrared thermal image and improved selfish sheep algorithm was proposed. By imitating the deep learning classification training process, datasets were made.. Based on the gaussian distribution, a hot spot recognition function was presented. The survival value after the selfish herd algorithm was improved by using datasets of hot spot recognition function of the location parameters optimization. Then, all kinds
A Coupled Model for Predicting the Tube Temperature of Platen Superheater of Coal-fired Boiler
Overheating of boiler heating surface seriously affects the safe operation of power plant. The tube temperature of boiler heating surfaces is affected by both the gas side heat transfer and steam heat absorption. Thus, this paper presented a coupled heat transfer calculation model in which the combustion and heat transfer of gas flow was simulated by 3D CFD model; while the steam flow in the tubes was simulated by a 1D Flownex model. The two models were coupled by exchanging the data of boiler heating surface heat flux and the steam temperature in the tubes. This coupled heat transfer model
Net Zero Energy Driven Power Sharing for Aggregated Buildings: A Peer Aggregation Model
Under the background of carbon peak and neutrality, the economic and environmental requirements are constantly improving for buildings. The energy optimization and sharing of buildings are of great research significance. Based on this, this paper constructed a peer aggregation model for buildings energy sharing driven by net zero energy. On the whole, the energy sharing framework mainly includes two parts: price equivalence publication and supply-demand information aggregation. The energy sharing center aggregated and analyzed the sharing information of all buildings, generated the sharing
Rotor Eddy Current Loss Analytical Model for High-speed Permanent Magnet Motor With Sleeve Based on Loaded Magnetic Field Analysis Considering Eddy Current Reaction Effect
Based on the precise subdomain method, a rotor eddy current loss analytical model of a high-speed permanent magnet synchronous motor with sleeve under the combined action of armature magnetic field, permanent magnetic field and stator slotting was established. The model also considered the influence of the rotor eddy current reaction caused by the high frequency harmonic magnetic field. This model considered both the stator current and permanent magnet remanence in the slot subdomain and the permanent magnet subdomain. Therefore, the analytical model can be used to calculate the rotor eddy
Prediction of Outlet SO2 Concentration Based on Variable Selection and EMD-LSTM Network
Aiming at the problem that it is difficult to stably control the SO2 concentration at the outlet of the desulfurization system in a coal-fired power plant, a prediction model based on variable selection and empirical mode decomposition (EMD)-long short-term memory network (LSTM) was proposed. First, the relevant variables related to outlet SO2 were determined through mechanism analysis, and the LASSO algorithm was used to remove the redundant variables. Mutual information was used to determine the time delay between input variables and output variables, and time delay compensation was carri