JSW Energy
Renewable-storage sizing
JSW Energy reported 30% shorter decision time for renewable and storage sizing
Problem
Capacity sizing required complex decisions.
Approach
ML complemented mixed-integer optimisation. The model sized renewable generation and storage.
Results
30%decision-time reduction
Takeaway
Capacity planning combined wind variability with solar and storage sizing.
Categories
- Size
- Large enterprise
- Industry
- Energy and utilities
- Business function
- Strategy and organization
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
[1]JSW Energy2025
JSW described implementation. Decision time fell 30%.
Full details are in the original sources.
Added 1 Nov 2026 · Updated 1 Nov 2026