Journal of Energy and Power Technology (JEPT) is an international peer-reviewed Open Access journal published quarterly online by LIDSEN Publishing Inc. This periodical is dedicated to providing a unique, peer-reviewed, multi-disciplinary platform for researchers, scientists and engineers in academia, research institutions, government agencies and industry. The journal is also of interest to technology developers, planners, policy makers and technical, economic and policy advisers to present their research results and findings.

Journal of Energy and Power Technology focuses on all aspects of energy and power. It publishes not only original research and review articles, but also various other types of articles from experts in these fields, such as Communication, Opinion, Comment, Conference Report, Technical Note, Book Review, and more, to promote intuitive understanding of the state-of-the-art and technology trends.

Main research areas include (but are not limited to):
Renewable energies (e.g. geothermal, solar, wind, hydro, tidal, wave, biomass) and grid connection impact
Energy harvesting devices
Energy storage
Hybrid/combined/integrated energy systems for multi-generation
Hydrogen energy 
Fuel cells
Nuclear energy
Energy economics and finance
Energy policy
Energy and environment
Energy conversion, conservation and management
Smart energy system

Power Generation - Conventional and Renewable
Power System Management
Power Transmission and Distribution
Smart Grid Technologies
Micro- and nano-energy systems and technologies
Power electronic
Biofuels and alternatives
High voltage and pulse power
Organic and inorganic photovoltaics
Batteries and supercapacitors

Indexing: 
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Publication Speed (median values for papers published in 2023): Submission to First Decision: 5.1 weeks; Submission to Acceptance: 11.6 weeks; Acceptance to Publication: 7 days (1-2 days of FREE language polishing included)

Current Issue: 2024  Archive: 2023 2022 2021 2020 2019

Special Issue

Machine Learning and Metaheuristic Optimizations for Power System Management

Submission Deadline: April 30, 2024 (Open) Submit Now

Guest Editors

Md Rashidul Islam

Department of Electrical and Electronic Engineering (EEE), International Islamic University Chittagong (IIUC), Sitakunda, Chittagong-4318, Bangladesh

Website | E-Mail

Research interests: Microgrid; optimization; power system operation and control

Md Shafiullah, PhD

Interdisciplinary Research Center for Renewable Energy and Power Systems King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia

Website | E-Mail

Research interests: Power system stability; intelligent energy management; machine learning; smart grid data analytics

About This Topic

Dear Colleagues,

Modern power system networks incorporate many critical components, including intermittent renewable energy resources, critical and non-critical loads, and the active participation of various stakeholders. Such incorporation into the most complex infrastructures ever devised by human-being requires a lot of sophisticated tools and strategies for their stable and reliable operation. With the invention of high computing devices, the application of computational and artificial intelligence techniques gained huge momentum for the effective management of power systems.

This Special Issue is a unique platform for power system researchers and decision-makers. The researchers present their state-of-the-art research findings and observations that come from the deployment of various machine learning and metaheuristic optimization strategies in the power sector, and the decision-makers will adopt appropriate technologies for the management of electric utilities. The scope of the issue includes:

  1. Power system stability
  2. Power system control and operation
  3. Economic dispatch
  4. Power quality and fault diagnosis
  5. Smart grid data analytics
  6. Renewable energy technologies in the power sector
  7. Circular economy
  8. Machine learning approaches
  9. Optimization strategies
  10. Metaheuristic algorithms
  11. Industry 4.0 applications in the energy sector

Md Rashidul Islam

Md Shafiullah

Guest Editors

Manuscript Submission Information

Manuscripts should be submitted through the LIDSEN Submission System. Detailed information on manuscript preparation and submission is available in the Instructions for Authors. All submitted articles will be thoroughly refereed through a single-blind peer-review process and will be processed following the Editorial Process and Quality Control policy. Upon acceptance, the article will be immediately published in a regular issue of the journal and will be listed together on the special issue website, with a label that the article belongs to the Special Issue. LIDSEN distributes articles under the Creative Commons Attribution (CC BY 4.0) License in an open-access model. The authors own the copyright to the article, and the article can be free to access, distribute, and reuse provided that the original work is correctly cited.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). Research articles and review articles are highly invited. Authors are encouraged to send the tentative title and abstract of the planned paper to the Editorial Office (jept@lidsen.com) for record. If you have any questions, please do not hesitate to contact the Editorial Office.

Welcome your submission!

Publication

Open Access Original Research

LFO Damping Enhancement in Multimachine Network Using African Vulture Optimization Algorithm

Received: 20 June 2023;  Published: 30 January 2024;  doi: 10.21926/jept.2401003

Abstract

The prolonged presence of low-frequency oscillation (LFO) in power system networks (PSN) poses a significant threat to their stability. Hence, engineers and researchers have continuously developed effective strategies to mitigate the issue and enhance the stability of the PSN. This article proposes a new approach using the African Vultures [...]
Open Access Original Research

Generalized Normal Distribution Optimization Algorithm for Economic Dispatch with Renewable Resources Integration

Received: 18 June 2023;  Published: 28 September 2023;  doi: 10.21926/jept.2303030

Abstract

In an electric power system operation, the main goal of economic dispatch (ED) is to schedule the power outputs of committed generating units efficiently. This involves consideration of relevant system equality and inequality constraints to meet the required power demand at the lowest possible operational cost. This is a challenging optimi [...]
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