Sensor Technology for Digital Twins in Smart Grids
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".
Deadline for manuscript submissions: 31 July 2024 | Viewed by 1388
Special Issue Editors
Interests: smart grids; green communications; artificial intelligence; machine learning; deep learning; big data; Internet of Things
Special Issues, Collections and Topics in MDPI journals
Interests: smart grids; green communications; artificial intelligence; machine learning; deep learning; big data; Internet of Things
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Smart grids are playing an increasingly significant role within the realm of smart environments. Digital twins for smart grids are virtual replicas or models of an entire electrical grid, created using digital technologies, data analytics, and simulation. These digital representations mimic the behavior and state of the physical grid, providing a complete, real-time view of grid operations.
The digital twins process the data that they continuously receive from the smart grid. To this end, sensor technology plays a crucial role in enabling real-time data and information to be obtained from various points on the grid, which helps to optimize grid performance, improve reliability, and facilitate efficient energy management. Sensor technology is a fundamental component of modern energy systems, designed to be more efficient, reliable, and environmentally sustainable.
Digital twins for smart grids serve various purposes, including monitoring, control, optimization, and planning. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Simulation and Scenario Analysis of Smart Grids using Digital Twins;
- Predictive Maintenance of Smart Grids using Digital Twins;
- Energy Management and Optimization in Smart Grids using Digital Twins;
- Fault Detection and Response in Smart Grids using Digital Twins;
- Load Forecasting in Smart Grids using Digital Twins;
- Grid Resilience and Security in Smart Grids using Digital Twins.
We look forward to receiving your contributions.
Prof. Dr. Javier M. Aguiar Pérez
Dr. María Á. Pérez Juárez
Guest Editors
Manuscript Submission Information
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Keywords
- smart grids
- digital twins
- predictive maintenance
- energy management
- fault detection
- load forecasting
- grid resilience
