Energy Consumption Analysis and Characterization of Complex Systems
Topic Information
Dear Colleagues,
Understanding and characterizing energy consumption are fundamental challenges in the design and operation of modern complex systems, such as smart grids, intelligent transportation networks, data centers, and advanced manufacturing systems. These systems consist of numerous interconnected components with diverse energy consumption patterns and behaviors. Accurately analyzing and characterizing energy use in such systems are crucial for identifying inefficiencies, understanding system dynamics, and guiding the development of sustainable energy management practices.
This Topic aims to bring together high-quality research contributions that focus on the analysis and characterization of energy consumption in complex systems. We encourage submissions that present new methods, frameworks, and case studies that advance the understanding of energy usage patterns, reveal underlying factors influencing energy demand, and provide insights into improving energy efficiency and sustainability across various domains.
Topics of interest include the following:
- Methods and models for energy consumption analysis in complex systems;
- Characterization of energy usage patterns in networked and distributed environments;
- Data-driven approaches to understanding energy demand and consumption;
- Machine learning and AI methods for energy consumption prediction and analysis;
- Energy profiling and benchmarking in smart grids, transportation systems, and industrial settings;
- Empirical studies on energy behavior in multi-agent and distributed systems;
- Tools and frameworks for visualizing and interpreting energy consumption data;
- Socio-technical factors influencing energy usage in complex systems;
- Case studies on energy consumption patterns in smart cities, data centers, and autonomous systems;
- Energy optimization and evaluation of complex systems.
We invite researchers and professionals from academia, industry, and government to submit original research articles, review papers, and case studies that explore innovative approaches to the analysis and characterization of energy consumption in complex systems.
Dr. Md Rasheduzzaman
Prof. Dr. Yongming Han
Topic Editors
Keywords
- energy consumption analysis
- energy usage patterns
- data-driven energy analysis
- machine learning for energy prediction
- energy profiling and benchmarking
- energy demand modeling
- distributed energy systems
- energy visualization tools
- sustainable energy management
- socio-technical factors in energy usage
- energy efficiency in transportation networks
- data center energy assessment
- smart cities energy studies
- empirical energy consumption studies
- energy characterization and optimization
Participating Journals


