Guest Editor(s)
Dr. Adis Puška
Email: adispuska@yahoo.com
Affiliation: Government of Brčko District of Bosnia and Herzegovina, Brčko District, Bosnia and Herzegovina
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Research Interests: quantitative economics, energy systems, operations management, tourism, management, agricultural economics, marketing
Prof. Dr. Darko Božanić
Email: darko.bozanic@yahoo.com
Affiliation: Military academy, University of Defence in Belgrade, Belgrade, Serbia
Homepage:
Research Interests: multi-criteria decision-making (MCDM), fuzzy MCDM, energy systems, rough MCDM, FIS, ANFIS
Summary
This special issue is dedicated to multi-criteria decision-making (MCDM) and its increasingly vital role in addressing complex energy engineering challenges. Modern energy engineering demands the simultaneous consideration of technical performance, economic viability, environmental impact, and social acceptance, making MCDM methods an indispensable tool for informed, transparent, and sustainable decision-making.
Energy engineering projects today face a growing number of requirements – from energy efficiency, reliability, and safety, through economic profitability and regulatory compliance, to greenhouse gas emissions and resource conservation. These criteria are often mutually conflicting, and energy engineers are expected to identify optimal solutions under conditions of deep uncertainty and multidimensional trade-offs. Multi-criteria decision analysis provides a structured framework for evaluating energy alternatives, balancing competing goals, and transparently justifying the selected strategies. Its application enhances the design of energy systems, the management of generation and distribution, the planning of renewable integration, and the formulation of energy policy.
This special issue focuses, among others, on the following topics:
· Development and improvement of multi-criteria techniques for energy engineering challenges
· MCDM-based decision support systems for power systems, heating/cooling networks, and integrated energy infrastructures
· Application of artificial intelligence in multi-criteria decision-making for energy problems
· Neural networks as support for MCDM processes in energy engineering
· Fuzzy logic and expert systems for handling uncertainty in multi-criteria energy decisions
· Optimization of performance, costs, emissions, and risks in energy system design and operation
· Sustainability assessment and life-cycle multi-criteria analysis of energy technologies
· Case studies and practical applications in renewable energy, distributed generation, energy storage, energy efficiency, smart grids, and energy policy
We invite authors to submit original scientific papers and review articles that explore theoretical foundations, methodological improvements, or concrete applications of MCDM methods in energy engineering practice.
Keywords
MCDM methods, energy systems, decision support systems, neural networks, fuzzy logic, expert systems, optimization of performance, case studies.
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