AI Insights
SMART ENERGY SOLUTIONS: NON-INTRUSIVE LOAD MONITORING (NILM)
- To monitor and analyze how electricity is used in homes or industries without installing sensors on each device.
- Goal is to detect appliances or machines which are running and how much energy they consume.
- A lightweight Deep learning network (CNN/RNN) to detect on/off states of appliances.
- Utilizing features like Harmonics, Transient Power, and Reactive Power extracted from aggregate power values.
AI Driven Solutions
Use Cases
Core Functionality & Transparency
The enabler: Transparent energy monitoring and actionable insights for users and utilities.
Operational Reliability
Focus on device health: Monitor equipment and predict maintenance needs through continuous load analysis.
Consumer Energy Efficiency
Focus on savings and reduction: Help consumers identify opportunities to reduce energy consumption.
Smart Grid Integration
Utilize granular data for improved load forecasting, demand response, and utility-level energy efficiency programs.
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