Energy Systems: Design, Management, Control and Monitoring
Topic Information
Dear Colleagues,
We are delighted to invite you to contribute to our forthcoming Topic entitled “Energy Systems: Design, Management, Control and Monitoring”.
The present issue welcomes researchers and authors to submit research and review articles exploring stationary and mobile applications of energy systems including, but not limited to, the following:
- Integrated design, control, and operational management of multi-vector energy systems and energy community/valley/regions;
- Electrical and thermal design and management: simulation, control, and measurement of energy storage, energy conversion, and energy generation systems;
- Smart grid-ready distributed generation systems’ performance, stability, resilience, and reliability;
- Applications of machine learning, AI, forecasting, and optimization techniques in energy systems;
- Peer-to-peer energy sharing, consumer-centric energy systems, and market pricing analysis;
- Advanced measuring and monitoring systems and methods for green energy applications;
- Vehicle to grid integrations: V2G and V1G management, charging scheduling, technology, and protocols;.
- Automotives and energy management: electric, hybrid, and plug-in hybrid vehicles;
- Self-driving and autonomous vehicles: route planning, control, energy management, and socio-economic explorations of connected and non-connected platoons of vehicles;
- Energy and buildings, thermal networks, HVAC, and indoor air quality management;
- Applications of Internet of Things (IoT) in smart energy management and control;
- Interoperability and flexibility service design, development, and optimization;
- Muti-criteria decision making and stakeholder engagement for energy sectors;
- Decarbonization, life cycle assessment, and sustainability management.
Dr. Majid Vafaeipour
Dr. Danial Karimi
Dr. Christoph Bergmeir
Prof. Dr. Farivar Fazelpour
Dr. Michela Longo
Topic Editors
Keywords
- multi-energy systems
- energy management
- distributed generation
- energy and transportation
- energy and building
- con-trol design
- machine learning
- decision making
- operational management
- measurement and monitoring
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