Background

Fluentgrid implemented an Advanced Analytics and Visualization solution, leveraging its Actilligence platform, for India’s largest power generation company, National Thermal Power Corporation (NTPC).

NTPC is India’s largest energy conglomerate with roots planted way back in 1975 to accelerate power development in India. Since then it has established itself as the dominant power major with presence in the entire value chain of the power generation business. From fossil fuels it has forayed into generating electricity via hydro, nuclear and renewable energy sources. This foray will play a major role in lowering its carbon footprint by reducing greenhouse gas emissions. To strengthen its core business, the corporation has diversified into the fields of consultancy, power trading, training of power professionals, rural electrification, ash utilisation and coal mining as well.

NTPC became a Maharatna company in May 2010. As of January 2020, there are 10 Maharatnas CPSEs in India. NTPC is ranked No. 2 Independent Power Producer (IPP) in Platts Top 250 Global Energy Company rankings.

83+

GW Installed Capacity

500+

KPIs

175

Dashboards

20

Departments

Business Challenges

  • Limited access to a unified data lake across diverse business units, hindering the timely exchange of business intelligence and reducing overall business value
  • Optimized AI/ML Models for enhanced prediction and forecasting
  • Lack of a scalable, robust, and secure data lake with capabilities for efficient storage and future expansion

Solution Delivered

  • Implemented a containerized Big Data Analytics Platform capable of handling large volumes of structured and unstructured data
  • Seamlessly integrated various systems such as SAP, OSISOFT PI Historian, MSSQL, MySQL, Oracle, and external websites across departments including Operations Services, Fuel Management, Fuel Transportation, Environment Management, and Ash Management, etc.
  • Developed 175 dashboards and reports with more than 500+ KPIs for in-depth analysis and drill-down capabilities
  • Provided advanced analytics, including reporting, dashboards, self-service, and augmented analytics
  • Introduced an advanced analytics platform equipped with a Machine Learning and Artificial Intelligence engine, along with an NLP engine with speech recognition
  • Utilized ETL processes, web scraping via Python, manual data entry screens, and RESTful APIs to eliminate redundant data and ingest information into the data lake

Results Achieved

  • Forecasting of Schedule Generation which helps for resource & infrastructure planning, optimized operations, load shedding mitigation
  • Exceeding the client’s requirement of 90% accuracy, we achieved an accuracy rate that surpasses 95% for demand forecasting
  • Forecasting of NTPC RE Generation & Optimum Coal Stock for each station
  • ECR Optimization which improves the Overall Share in Indian market