The Journal of Smart Grids, Energy Analytics and Optimization is an international, peer-reviewed, open access journal published by Institute of Smart Energy Systems Press (ISESP). The journal is dedicated to advancing research and innovation in smart energy systems, smart grids, energy analytics, optimization methods, and digital technologies that contribute to the development of efficient, reliable, resilient, and sustainable energy infrastructures.
The journal focuses on the role of energy digital transformation in developing advanced energy infrastructures through digital platforms, intelligent systems, analytics-based solutions, and emerging technologies. Research related to technology management and the adoption, implementation, and governance of innovative energy technologies is also encouraged, particularly when it contributes to improved efficiency, sustainability, and decision-making in energy systems.
The journal welcomes original research articles, review articles, systematic review articles, and case studies that contribute to the understanding, development, and application of smart energy technologies. Relevant studies may address theoretical advances, computational frameworks, practical implementations, and interdisciplinary approaches connecting energy systems, data analytics, information technologies, optimization methods, and sustainability.
The scope of the journal includes, but is not limited to:
Smart grids, intelligent energy networks, and next-generation power systems
Smart energy systems, digital energy infrastructures, and intelligent energy management
Energy analytics, big data applications, and data-driven decision-making in energy systems
Machine learning, deep learning, and intelligent algorithms for energy applications
Energy optimization, mathematical modeling, computational methods, and decision-support systems
Energy management systems, demand response, and energy efficiency improvement
Renewable energy integration, distributed energy resources, and hybrid energy systems
Microgrids, virtual power plants, and decentralized energy management
Energy storage technologies, battery management systems, and optimization of storage operations
Energy forecasting, load prediction, renewable generation forecasting, and uncertainty analysis
Digital transformation of energy systems, Internet of Things (IoT), and connected energy technologies
Digital twins, simulation platforms, and advanced computational tools for energy system analysis
Power system operation, control, stability, reliability, and resilience
Cybersecurity, data protection, and governance of digital energy infrastructures
Sustainable energy systems, carbon reduction strategies, and environmentally responsible energy management
Technology management and innovation strategies for emerging energy technologies
We particularly encourage interdisciplinary research that combines energy systems with analytics, optimization, and digital transformation to address current and future challenges in energy reliability, efficiency, sustainability, and intelligent decision-making.
Purely theoretical computer science or engineering studies without a clear contribution to smart energy systems, energy analytics, optimization, digital transformation, or energy-related decision-making are outside the scope of the journal.