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Naveen Kumar Thokala

Scientist, TCS Research

Spoorthy Paresh

Scientist, TCS Research


  • The surge in availability of granular electricity consumption data from smart meters has made it easier to develop methods and algorithms to extract insights with varied approaches on how to do this. 
  • Machine learning or signal processing-based techniques can be applied to analyze smart meter data collection at different data granularities and identify the appliance-wise electricity load from historical data or meta-information.
  • Leveraging the right techniques for smart meter data analytics simplifies demand-side energy management by enabling more cost-effective balancing of supply and demand.