Smart Monitoring of Low Voltage Networks to Combat Illegal Power Connections

A dataset associated with a prototype IoT-based system for monitoring and controlling low-voltage electricity distribution networks. The system automatically detects emerging electricity theft and isolates affected feeder segments to disconnect illegally connected users. This work supports grid modernization, smart-grid deployment, and public safety by reducing non-technical losses.

Use Cases

• Testing electricity theft detection algorithms based on IoT sensor data.
• Evaluating automated feeder isolation strategies for low-voltage networks.
• Developing cost-effective monitoring systems for grid modernization.
• Analyzing the performance of IoT architectures for low-voltage automation.

Strengths

• Dataset size is 1531832 bytes, indicating substantial content.
• Includes a working prototype description and associated files (JPG, PDF, PNG).

Limitations

• Column names and row count are unknown, limiting structured analysis.
• Metadata completeness is low; organization and specific data types are not provided.

Provenance

Source

Thulani Solani

Collection Method

Likely generated from a research project proposing an IoT-based monitoring system.

Freshness

Last updated on 2026-03-24.