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Journal of Power Electronics and Power Systems Cover

Journal of Power Electronics and Power Systems

E-ISSN: 2249-863X | P-ISSN: 2321-4244 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

Journal of Power Electronics and Power Systems

Journal of Power Electronics & Power Systems [2249-863X(e)] is a peer-reviewed hybrid open-access journal launched in 2011 and is focused on the publication of research-finding papers in the areas of Power Electronics & Power Systems.

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Journal Information

Title: Journal of Power Electronics and Power Systems
Abbreviation: jopeps
Issues Per Year: 3 Issues
P-ISSN: 2321-4244
E-ISSN: 2249-863X
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/JoPEPS
Starting Year: 2011
Subject: Power Electronics
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

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jopeps maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Prof. Yog Raj Sood, Professor

National Institute of Technology, Himanchal Pradesh, India,

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Latest Articles

Ahead of Print

Maximum Power Point Tracking of PV, Wind System Using Deep Learning Approach

The mixing of renewable liveliness fonts, especially photovoltaic (PV) and gale schemes, has faster due to the rising call for fresh and supportable liveliness on a total rule.

Maximum Power Point Tracking (MPPT), Photovoltaic (PV), Wind Energy, Hybrid Renewable System, Deep Learning

Harmonic Minimization and Voltage Boosting In PV-based Multilevel Inverter Using Advanced Deep Learning Approach

The integration of photovoltaic (PV) systems with multilevel inverters has gained significant attention due to their capability of producing smooth output waveforms with fewer distortions.

Photovoltaic (PV), Cascaded H-Bridge Multilevel Inverter, Boost Converter, Harmonic Minimization, Deep Learning, MATLAB/Simulink

LightGBM-Based Grid Demand Estimation and Prediction for Intelligent Electricity Load Forecasting

Correctly predicting electricity demand in emerging energy markets like India is the most effective way to maintain grid stability. This is particularly important. This article offers a comprehensive data- based structure that captures both the broad temporal dynamics and regional diversity.

Electricity Demand Forecasting, Grid Load Estimation, LightGBM, Gradient Boosting, Gated Recurrent Unit, Chronological Cross-Validation, Feature Engineering, Smart Grid Analytics

ENERGY CONSUMPTION MONITORING WITH A MOBILE APPLICATION

Energy consumption monitoring via mobile applications has emerged as a crucial paradigm in modern smart grids and Internet of Things (IoT) frameworks, enabling real-time visibility and proactive energy management for end consumers.

Energy Consumption Monitoring; Internet of Things (IoT); Smart Energy Management; Real-Time Power Monitoring; Non-Intrusive Load Monitoring (NILM)

Reactive power compensation in modern power system using advanced control: A comprehensive survey

Reactive power management is really important for keeping voltage steady, improving the quality of electricity, reducing energy loss during transmission, and ensuring modern power systems work well.

Reactive power compensation, FACTS, STATCOM, SVC, Advanced control, Fuzzy logic.

Optimal Placement and Sizing of STATCOM for Loss Reduction and Voltage Profile Enhancement Using Genetic Algorithm

Electric power distribution networks frequently experience significant power losses and voltage profile deterioration due to increasing load demand and inadequate reactive power compensation.

Distribution Network, STATCOM, Genetic Algorithm, Voltage Profile Improvement, Power Loss Reduction
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