NASSCOM Community

Analytics Case Study Series: 3. Power

Blog Post created by NASSCOM Community on Jun 9, 2016



  • Unbilled consumption identified by following the ‘meter-to-cash’ trail can generate incremental revenue.
  • Detection of theft and fraud in the grid can reveal lost revenue.
  • Proactive maintenance of expensive transformers and other such heavy equipments in the grid can save millions of dollars by postponing replacement to the future.

The Case Details:

Organisation: L&T Technology Services

Client: A State Electricity Board in India

Vertical: Power & Utilities

Geography: India

Category: Predictive


The Situation:


  • Need for accurate models for forecasting power demand
  • Huge gaps in load requirement vs the installed power generation capacity


The Solution:


  • Parametric modeling based demand prediction by integrating various datasets
  • Real time monitoring of key parameters through customised dashboards to aid planning/decision making


The Result:


  • Flexible and efficient planning and policy making for different customer types
  • Evaluation of power requirement for particular events /seasons for efficient planning
  • Reduced load shedding instances leading to increase in customer satisfaction