About Computational Intelligence in Modern Power Systems

Aims and Scope

Computational Intelligence in Modern Power Systems (CIMPS) is an international, peer-reviewed scholarly journal dedicated to publishing high-quality original research, review articles, and applied studies on the development and application of computational intelligence techniques in contemporary power and energy systems. The journal aims to serve as a global platform for researchers, academicians, industry professionals, and policymakers to share innovative methodologies and practical solutions that enhance the efficiency, reliability, sustainability, and intelligence of modern power systems.

The journal focuses on advanced computational approaches—including artificial intelligence, machine learning, deep learning, evolutionary computation, and data-driven modeling—for the planning, operation, control, protection, and optimization of power systems and smart grids. Emphasis is placed on real-world applications, interdisciplinary research, and emerging technologies that support the transition toward intelligent, resilient, and low-carbon energy systems.

Scope of the Journal includes, but is not limited to:

Computational Intelligence and AI in Power Systems
Machine Learning and Deep Learning for Smart Grids
Intelligent Control, Protection, and Automation
Power System Optimization and Decision Support
Smart Grid Technologies and Applications
Renewable Energy Integration and Forecasting
Energy Management Systems and Demand Response
Power System Stability, Reliability, and Security
Intelligent Fault Detection and Diagnosis
Distributed Generation and Microgrids
Energy Storage Systems and Intelligent Scheduling
Internet of Things (IoT) and Cyber-Physical Power Systems
Big Data Analytics for Power and Energy Systems
Electric Vehicles and Smart Charging Infrastructure
Cybersecurity and Data Privacy in Intelligent Power Systems

Computational Intelligence in Modern Power Systems welcomes interdisciplinary and application-oriented research that bridges theory and practice and contributes to the digital transformation of power and energy infrastructure. All submitted manuscripts undergo a rigorous peer-review process to ensure originality, technical quality, and scientific integrity.

Copyright and Open Access

Computational Intelligence in Modern Power Systems all articles published in the journal, copyright is retained by the authors. Articles are licensed under an open access Creative Commons CC BY 4.0 license.

Editorial Office

Computational Intelligence in Modern Power Systems,
Amrita Jaiswal,
Managing editor,
Gyps Publication