Smart Sensing, Innovative Analysis and Optimal Operation of Distribution Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: 15 January 2026 | Viewed by 8
Special Issue Editor
Special Issue Information
Dear Colleagues,
To realize the target of carbon neutrality, energy systems are transforming to become more electrified, decentralized, and customer-centric. This migration requires distribution systems to integrate renewable energy resources, establish EV charging facilities, and utilize demand-side resources like flexible loads. While the increasingly high penetration of distributed generations has posed significant challenges to distribution system operation, it has also brought about opportunities for utilities to leverage advanced technologies such as smart sensing, innovative analysis algorithms, and AI techniques.
This Special Issue aims to showcase original research and review articles on recent advances, technologies, solutions, applications, and current challenges in the field of smart sensing, innovative analysis, and optimal distribution system operation with increased penetration of distributed generations.
Potential topics of interest for this Special Issue include, but are not limited, to:
- Renewable resources forecast and modeling;
- Smart sensing and advanced metering infrastructure;
- Innovation system analysis algorithms;
- Distribution grid and smart metering data analytics;
- State estimation and situation awareness of distribution systems;
- Power quality monitoring and energy efficiency analysis;
- Fault diagnosis, asset condition monitoring, and asset management;
- Optimal control and operation of distribution system;
- Non-intrusive load monitoring;
- Demand-side resource modeling and utilization;
- AI and IoT solutions for distribution system operation.
Prof. Dr. Wenpeng Luan
Guest Editor
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Keywords
- smart sensors
- data analytics
- hierarchical and distributed control
- distribution system operation
- demand-side resource modelling and utilization
- non-intrusive load monitoring
- fault diagnosis and situation awareness
- renewable energy resource forecasting and modeling
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