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MJEE-1

Majlesi Journal of Electrical Engineering

Editor-in-Chief: Farbod Razzazi, PhD

Online ISSN: 2345-3796

Print ISSN: 2345-377X

Publishes Quarterly

Original Article
Sophisticated Microgrid Communication System Management

Conversation and assurance issues play a crucial function when talking regarding to the wise grid. This particular paper presents opportunities of testing power framework assurance transfers and correspondence standards for smart supply. A depiction in the Smart Grid lab hardware and the key protection devices is usually presented in the paper. Further employ cases and […]

Original Article
Energy Storage Technologies for Smart Grid: A Comprehensive Review

In the recent days, the main challenge for the electrical power system is an economical storage technology. Energy storage is essential for the future Smart Grid (SG) to smooth out the fluctuating output of Renewable Energy Resources (RERs). Even though many good storage technologies are available but either they are not economical or they are […]

Original Article
Improving Electricity Theft Detection using Combination of Improved Crow Search Algorithm and Support Vector Machine

Energy losses in the electricity distribution and transmission network and electricity theft detection are major challenges of electricity suppliers around the world. Advanced metering infrastructure (AMI) is an essential segment of the smart grids that is responsible for gathering, measuring and analyzing consuming data of customers. The addition of a security layer to AMI has […]

Original Article
Technical and Economic Model of the Conductor Cross-Section for Active-adaptive Electrical Networks

There can be observed a gradual transition of the electric power industry to the innovative technology platform “Smart Grid” around the world; in Russia it is done on the platform of an intelligent electrical grid with an active-adaptive network, which becomes one of the most important subsystems. There are new elements of power transmission lines, […]

Original Article
Impact of Data Filtering Techniques on Smart Grid Load Forecasting: A Comparative Analysis

The integration of advanced metering technology in power systems has enabled real-time data access for every node in a smart grid. As a result, the power system can now access large volumes of data. This vast amount of data requires an alternative method of analysis. Machine learning-based load forecasting technologies are being applied in this […]