( Vol 46 , Issue 01 ) | 15 Jun 2026
Day
Hour
Min
Sec
( Vol 46 , Issue 01 ) | 30 Jun 2026
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 (2026)
AIM AND SCOPES
Zhongguo Dianji Gongcheng Xuebao/Proceedings Of The Chinese Society Of Electrical Engineering
-
Electrical Engineering
-
Biological Biosystem Engineering
-
Hardware-software co-design and interfacing
-
Nanotechnology
-
Turbines micro-turbines
-
Power quality
-
Energy optimization
-
HVDC transmission
-
Telecommunication Engineering
-
Integrated Engineering
-
Semiconductor chip
-
Advanced control theories and applications
-
FACTS devices
-
High voltage engineering
-
Electric drives
-
Power electronics
-
Electro-mechanical System Engineering
-
Electronic Engineering
-
Peripheral equipments
-
Machine design and optimization
-
Insulation systems
-
Electrical machines
-
Semiconductor chip
-
Electronic Engineering
All Journal Published Here
Zhongguo Dianji Gongcheng Xuebao/Proceedings Of The Chinese Society Of Electrical Engineering
Environmental contribution of integration the renewable energies in the autonomous network in south-west of Algeria
Majority forecasters predict commercial primary energy consumption to double by 2030, then triple around 2050. However, most electrical energy is produced by burning non-renewable resources. In addition, this type of electricity production is mainly responsible for the production of CO2 released into the atmosphere, causing the phenomenon of the greenhouse effect which confronts the planet with the phenomena of global warming. The depletion of these fossil resources, in the more or less long term, and the fight against greenhouse gas emissions make it urgent to diversify energy sources: the us
Design of Distributed Solar Power Systems and Their Impact on the Stability of Electrical Grids
This research shall be undertaken for the purpose of designing and comparing solar systems and studying their stability on the grid. The research shall be on simulator model developing for incorporating solar into the grid, its voltage stability, its load balancing, and its stability on frequencies. The stability of solar generation fluctuations with respect to climatic parameters shall be analyzed, and techniques of stability improvement with the utilization of energy storage devices. Advanced simulator packages such as Simulink and MATLAB shall be utilized. This research addresses solar powe
Narrow Bandpass Filter for Next Indonesian Generation Coastal Surveillance Satellite Reception
Indonesia, with its long coastline, faces numerous challenges, including flooding and coastal erosion, which are intensified by climate change. Im-mediate detection and monitoring are crucial, and satellite technology plays an essential role in this process. This paper presents the design, development, simulation, fabrication, and analysis of a microstrip bandpass filter (BPF) tailored for coastal satellite reception in Indonesia. Operating within the 3.7 GHz to 4.2 GHz range, the BPF is designed to enhance signal quality by allowing the selective passage of desired frequency bands while reduc
Performance Evaluation of ANN and Fast Convergence MPPT Method for Solar Power
The conversion chain is the main component of the photovoltaic system, with the algorithms used being crucial to optimize this conversion chain. This article presents a study on the optimization of the energy produced by the photovoltaic panel, comparing the use of artificial intelligence, specifically artificial neural networks (ANN), with the fast convergence approach (FCA) developed in our previous work. The use of artificial neural networks demonstrates their efficiency and robustness in tracking the maximum power point under varying irradiation and temperature conditions. However, the res
Prediction of the lifetime of a power transformer using an optimized SVR
Predicting the lifetime of the transformer avoids a sudden cessation of its operation along with all technical, economic, and social consequences. The degree of polymerization of the cellulose which constitutes the transformer paper is a good indicator of aging. Since direct measurement of DP is not easy, DP can be determined from other transformer's quality parameters. One of the parameters used to determine indirectly the DP is the concentration of 2-furfuraldehyde. 2-furfuraldehyde is a product of cellulose degradation. In this article, we propose a support vector regression optimized by a