JSW Energy
Wind forecasting
JSW Energy improved wind scheduling
Problem
Forecast deviations incurred penalties.
Approach
Machine learning combined turbine-level SCADA data with weather forecasts. It predicted generation at 15-minute intervals.
Results
No published figures
Takeaway
JSW reported fewer deviation penalties, without quantifying the reduction.
Categories
- Size
- Large enterprise
- Industry
- Energy and utilities
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
[1]JSW Energy2025
JSW reported better scheduling. Deviation penalties fell.
Full details are in the original sources.
Added 1 Nov 2026 · Updated 1 Nov 2026