Volume 13 (2025)
Volume 12 (2024)
Volume 11 (2023)
Volume 10 (2022)
Volume 9 (2021)
Volume 8 (2020)
Volume 7 (2019)
Volume 6 (2018)
Volume 5 (2017)
Volume 4 (2016)
Volume 3 (2015)
Volume 2 (2014)
Volume 1 (2013)
Data Mining and SVM Based Fault Diagnostic Analysis in Modern Power System Using Time and Frequency Series Parameters Calculated From Full-Cycle Moving Window

P. Venkata; V. Pandya; A.V. Sant

Volume 12, Issue 3 , August 2024, , Pages 206-214


  This paper proposes a complete diagnostic analysis of faults in a typical modern power system's transmission line using the support vector machine (SVM) with time-series parameters and frequency series parameters as features. The training and testing data of the proposed method are collected by simulating ...  Read More

A New Model for Predicting the Remaining Lifetime of Transformer Based on Data Obtained Using Machine Learning

M.K.K. Alabdullh; M. Joorabian; S.G. Seifossadat; M. Saniei

Volume 12, Issue 3 , August 2024, , Pages 224-232


  Transformers are one of the most important parts of the electric transmission and distribution networks, and their performance directly affects the reliability and stability of the grid. Maintenance and replacing the faulted transformers could be time-consuming and costly and accordingly, a solution ...  Read More

Data Mining Model Based Differential Microgrid Fault Classification Using SVM ‎Considering Voltage and Current Distortions

P. Venkata; V. Pandya; A.V. Sant

Volume 11, Issue 3 , October 2023, , Pages 162-172


  This paper reports support vector machine (SVM) based fault detection and classification in microgrid while considering distortions in voltages and currents, time and frequency series parameters, and differential parameters. For SVM-based fault classification, the data set is formed by analysing the ...  Read More

Modeling and Identification of Technological Processes in the Fields of Power Engineering
Renewable Energy Resources Development Effect on Electricity Price: an Application of Machine Learning Model

D.S. Talgatkyzy; N.H. Haroon; S.A. Hussein; S.Kh. Ibrahim; K.A. Jabbar; B.A. Mohammed; S.M. Hameed

Volume 11, Special Issue , March 2023


  Given the significant uncertainty surrounding future electricity prices, which is widely regarded as the most critical factor in this context, market participants must engage in forecasting to facilitate their exploitation and planning activities. The success of electricity market actors is dependent ...  Read More