Research

Machine learning and IoT for solar plant control and fault detection

A patented approach that combines IoT sensing with machine learning to control a solar plant, detect faults early and predict energy output.

The challenge

Faults in solar plants — soiling, failing panels, inverter problems — reduce output for days before they are noticed. Operators need early warning and reliable generation forecasts.

Our approach

  1. Collect panel, inverter and weather readings through IoT sensors.
  2. Use machine learning to detect abnormal behaviour that signals a fault.
  3. Predict energy output to support control decisions and planning.

The solution

  • IoT sensing layer
  • Fault-detection models
  • Energy prediction
  • Control system

Results

  • Indian patent application 202021036499, published 4 March 2022.
  • The same sensing-plus-ML pattern underlies our digital twin work.

Publication

Patent application 202021036499, The Patent Office Journal No. 09/2022.

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