Computational Intelligence in Modern Power Systems

ISSN (online): 3139-5228

Open access International Journal

Computational Intelligence in Modern Power Systems is an open access and peer-reviewed journal, published by Gyps Publication.

Journal Poster

Computational Intelligence in Modern Power Systems (ISSN: 3139-5228) is an international, peer-reviewed journal dedicated to research at the intersection of computational intelligence, electrical engineering, power systems, and emerging energy technologies. The journal aims to promote innovative computational methods for the analysis, operation, control, optimization, protection, and management of modern power systems and smart energy networks.

Year Started : 2026
Language : English
Review Process: Single-blind review
Frequency of Publication: Two issues per year 
Format of Publication : Fully Open access and Online
Subject: Multidisciplinary

Editorial Office
Computational Intelligence in Modern Power Systems (ISSN: 3139-5228)
Email: cimps@gpub.org
For authors, readers, reviewers, manuscript submission, peer review, published article queries, and editorial correspondence.

Publisher Contact
Gyps Publication, India
Email: madhu@gpub.org
For publishing, administrative, indexing, and publisher-related queries.


LATEST ARTICLES

Research Article

Artificial Intelligence in Mining Engineering: Opportunities, Challenges, and Future Directions

  • By Bernard Nkrumah Attobrah, Zakiya Konda Nurudeen, Asuelimen Egheosa Tito, Osasere Osbert Iduozee - 04 Mar 2026
  • Computational Intelligence in Modern Power Systems, Volume : 1 (2026), Issue: 1 (January-June), Pages: 47 - 56
  • https://doi.org/10.58613/cimps115
  • Received: 03.02.2026; Accepted: 26.02.2026; Published: 04.03.2026
Abstract:  

Artificial intelligence (AI) is emerging as a strategic enabler for modernizing mining engineering practices; however, adoption across the United States mining industry remains uneven due to operational, technical, and regulatory constraints. Read more

Review Article

Remote Sensing Applications for Flood Control and Stormwater Management: A Systematic Review

  • By Samson Micheal Idoghor, Ogonna Kizzito Agbahiwe, Linda Egbubine, Peter Akinlotan, Jonathan Kuffour Owusu, Isaac Eshun, Ebuka Stephen Ifionu, Ugochukwu Udonna Okonkwo - 04 Mar 2026
  • Computational Intelligence in Modern Power Systems, Volume : 1 (2026), Issue: 1 (January-June), Pages: 35 - 46
  • https://doi.org/10.58613/cimps114
  • Received: 02.02.2026; Accepted: 25.02.2026; Published: 04.03.2026
Abstract:  

Flooding is a major and persistent risk to cities and riverine communities worldwide. We conducted a systematic review to assess how remote sensing is being applied in flood control and stormwater management in operational contexts. Following Read more

Review Article

A Review of Health-Aware Modeling and Control Strategies for Battery Energy Storage Systems

  • By Olorunfunmi Olamilekan Osinubi, Njemanze Emmanuel C, Gifty Dudzilah, Benjamin Osaze Enobakhare, Mariam Iyabo Adeoba - 10 Feb 2026
  • Computational Intelligence in Modern Power Systems, Volume : 1 (2026), Issue: 1 (January-June), Pages: 24 - 34
  • https://doi.org/10.58613/cimps113
  • Received: 02.01.2026; Accepted: 01.02.2026; Published: 10.02.2026
Abstract:  

Battery Energy Storage Systems (BESS) are critical enablers of modern power systems, supporting renewable energy integration, grid stability, and flexible energy management. However, battery degradation, safety risks, and high lifecycle costs Read more

Review Article

Artificial Intelligence Applications in Smart Grids and Modern Power Systems: A Comprehensive Review

  • By Gbangbala Usman Alao, Benjamin Osaze Enobakhare, Oghenetega A. Okpoko, Mariam Iyabo Adeoba, Enoch Nii-Okai, Adedamola O. Oladunni, Virginia Uchenna Onyia - 11 Jan 2026
  • Computational Intelligence in Modern Power Systems, Volume : 1 (2026), Issue: 1 (January-June), Pages: 11 - 23
  • https://doi.org/10.58613/cimps112
  • Received: 17.11.2025; Accepted: 05.01.2026; Published: 11.01.2026
Abstract:  

The rapid digitalization of the power sector, coupled with increasing penetration of renewable energy sources and distributed energy resources, has fundamentally transformed the structure and operation of modern power systems. Traditional mod Read more

Review Article

CO2 Capture, Utilization, and Power-to-X Technologies for Sustainable Fuels and Energy Systems: A Review

  • By Enoch Nii-Okai, Bright Peter Saah, Adeniyi Adebayo, Gbangbala Usman Alao, Adedamola O. Oladunni, Anuligwe Chigozie Felix, Benjamin Osaze Enobakhare - 11 Jan 2026
  • Computational Intelligence in Modern Power Systems, Volume : 1 (2026), Issue: 1 (January-June), Pages: 1 - 10
  • https://doi.org/10.58613/cimps111
  • Received: 30.11.2025; Accepted: 03.01.2026; Published: 11.01.2026
Abstract:  

Carbon dioxide capture and utilization (CCU) and Power-to-X (PtX) technologies are increasingly viewed as key enablers of net-zero energy systems, particularly for decarbonizing sectors where direct electrification remains challenging. While Read more