Recent Progress on Sensors in Power Industry: System, Signal Processing, and Data Analysis
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Industrial Sensors".
Deadline for manuscript submissions: 25 December 2025 | Viewed by 39
Special Issue Editors
Interests: signal processing; remote sensing; video analysis; radar technology; computer vision; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; data analytics; information fusion; robotics; sensor networks; IoT; signal and image processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Over the past few years, the power industry has undergone an intelligent transformation through using sensor technology and data analysis methods. With the large-scale integration of renewable energy into the power grid and the growing complexity of the power system, traditional monitoring methods can no longer meet the requirements for real-time, accurate, and multi-dimensional analysis. The perception system, which encompasses power generation, transmission, distribution, and consumption, can collect real-time heterogeneous data from various sources. By utilizing advanced models, it enables equipment health status assessments, fault trend predictions, and dynamic optimization scheduling of the power grid. Data analysis not only facilitates a paradigm shift in predictive maintenance but also supports demand response strategies by analyzing user behavior patterns. This helps the power industry to move towards more efficient, clean, and self-healing energy systems.
Therefore, there is a pressing need for collaboration between academia and industry to share the latest research advancements in the theory, technology, and application of the power industry and sensor data.
This Special Issue encourages scholars to publish research papers and review articles on the power industry; sensor, detection, recognition, and interpretation technologies; and these technologies’ applications. Discussions on the challenges and limitations of the power industry and sensor data processing and how they can be addressed are also welcome.
Potential topics for this Special Issue include, but are not limited to, the following:
- Novel power industry system and sensor data;
- Multisource heterogeneous data processing, fusion, and analysis;
- Signal processing in power industry and sensor data applications;
- Real-time intelligence in power industry and sensor data applications;
- Time series data mining and numerical inversion.
Dr. Ying Zhang
Prof. Dr. Henry Leung
Guest Editors
Dr. Junliang Wang
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- sensors
- power industry
- signal processing
- data analysis
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