Trends and Challenges in Cyber-Physical Energy Systems
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".
Deadline for manuscript submissions: 5 March 2026 | Viewed by 1432
Special Issue Editor
Special Issue Information
Dear Colleagues,
The integration of cyber-physical systems (CPSs) into energy infrastructure is transforming the energy sector. Cyber-physical energy systems (CPESs) represent an advanced infrastructure where computational algorithms and physical components interact seamlessly to enhance efficiency, reliability, and sustainability. As the energy landscape evolves, integrating renewable energy sources, smart grids, and advanced control systems, new challenges emerge in relation to security, real-time communication, and data management. The integration of CPSs into energy systems brings numerous benefits, such as improved grid resilience, enhanced demand-response capabilities, and better resource management. However, it also introduces complex challenges including cybersecurity threats, interoperability issues, and the need for robust regulatory frameworks. By exploring these topics, this Special Issue seeks to advance the understanding and development of CPESs, fostering collaboration between academia, industry, and policymakers to build a more resilient and sustainable energy future. This Special Issue aims to explore current trends, innovative approaches, and the multifaceted challenges associated with cyber-physical energy systems (CPESs).
Topics of interest for publication include, but are not limited to, the following:
- Advanced control and optimization:
- Model predictive control in CPESs.
- Decentralized and distributed control strategies.
- Smart grid technologies:
- Integration of renewable energy sources.
- Smart metering and demand-side management.
- Security and privacy:
- Cybersecurity measures in energy systems.
- Data privacy and protection mechanisms.
- Communication and networking:
- Real-time communication protocols for CPESs.
- IoT applications in energy systems.
- Simulation and modeling:
- Digital twins for energy systems.
- Simulation tools and techniques for CPESs.
- Machine learning and AI:
- Predictive maintenance using AI.
- Machine learning for energy demand forecasting.
- Regulatory and policy issues:
- Policy frameworks for CPES implementation.
- Standards and regulations for cybersecurity in energy systems.
Dr. Iwona Skalna
Guest Editor
Manuscript Submission Information
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Keywords
- decentralized control
- distributed control
- optimization strategies
- cyber-physical systems (CPSs)
- energy systems control
- smart grid technologies
- smart grids
- smart metering
- energy distribution
- grid modernization
- cybersecurity in energy
- data privacy
- energy system protection
- security protocols
- intrusion detection
- privacy mechanisms
- internet of things (IOT)
- network reliability
- smart grid communication
- CPES networking
- digital twins
- energy system simulation
- modeling techniques
- simulation tools
- virtual energy systems
- predictive modeling
- ai in energy systems
- smart energy management
- data-driven maintenance
- CPES implementation
- cybersecurity standards
- energy regulations
- regulatory compliance
- policy development
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