Guest Editor(s)
Dr. Manoharan Madhiarasan
Email: mmadhiarasan@btech.au.dk; mmadhiarasan89@gmail.com
Affiliation: Centre for Energy Technologies (CET), Department of Business Development and Technology, Aarhus School of Business and Social Sciences (BSS), Aarhus University, Birk Centerpark 15, 7400 Herning, Denmark
Homepage:
Research Interests: electrical engineering, renewable energy systems, power electronics and control, energy technologies, computer vision, human-computer interface, pattern recognition, artificial intelligence, neural networks, optimisation, machine learning, deep learning, soft computing techniques, internet of things, social sciences, electric vehicles, battery storage systems, robotics, interdisciplinary research, research-based teaching, modeling and simulation
Summary
Energy engineering needs to evolve strategies for keeping up with the worldwide shift to environmentally friendly energy sources, incorporating data-driven decision-making, optimization techniques, and advanced technology. This special issue aims to discuss the most recent energy engineering research and advancements supporting robust, reliable, and green energy systems. The emphasis will be on revolutionary methods, new technologies, and multidisciplinary strategies that improve energy generation, distribution, conservation, and application.
Topics of interest of this Special Issue include, but are not limited to:
• Developments in solar, wind, hydro, biomass, and geothermal energy
• Innovations in battery technology
• Predictive maintenance, optimizing, and forecasting applications.
• Energy Policy and Industry Breakthroughs
• Carbon neutrality strategies
• Behavioural energy modelling, smart buildings, and industrial energy efficiency
• Hybrid and cohesive electrical systems
• Energy infrastructure resilience and dependability
Keywords
energy engineering, renewable energy systems, cutting-edge technology
Published Papers
Login
Register
Submit a Paper
Propose a Special lssue