Advanced Sensing Technology and Data Analytics for Power Equipment Security and Energy System
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Industrial Sensors".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 243
Special Issue Editors
Interests: electrical equipment monitoring; advanced sensing; measurement; electromagnetic calculation
Special Issues, Collections and Topics in MDPI journals
Interests: energy systems; sensors; electromagnetic measurement; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue, titled “Advanced Sensing Technology and Data Analytics for Power Equipment Security and Energy System”, focuses on innovative sensing technologies and data-driven approaches to enhance the security, reliability, and efficiency of smart grids. It invites research on topics such as advanced sensors, artificial intelligence, machine learning, and big data analytics for grid monitoring, fault detection, cyber-physical security, and optimization of energy systems.
This Special Issue therefore aims to put together cutting-edge research and innovative solutions in advanced sensing technologies, data analytics, and cybersecurity frameworks for power equipment and energy systems.
Potential topics of interest include the following:
- Advanced sensing;
- Data analytics;
- Cybersecurity;
- Energy systems;
- Fault detection;
- Machine learning;
- Artificial intelligence;
- Big data;
- Predictive analytics;
- Energy optimization;
- Renewable integration;
- Cyber-physical systems;
- Internet of Things (IoT);
- Real-time monitoring;
- Smart sensors;
- Intelligent control systems.
Prof. Dr. Jingang Wang
Dr. Pengcheng Zhao
Guest Editors
Manuscript Submission Information
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Keywords
- advanced sensing
- data analytics
- cybersecurity
- energy systems
- fault detection
- machine learning
- artificial intelligence
- big data
- predictive analytics
- energy optimization
- renewable integration
- cyber-physical systems
- Internet of Things (IoT)
- real-time monitoring
- smart sensors
- intelligent control systems
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