More sources of power.
More decisions under uncertainty.
India’s power transition creates a practical question for every operator and commercial team: how do we turn changing demand, renewable output and market conditions into a decision we can explain and act on?
A changing generation mix
India reached 50% non-fossil installed electricity capacity in June 2025. This is a capacity milestone, not a share of electricity generated. The policy outlook also connects rooftop solar, EVs and smart meters with more digital energy systems.
The decision: how might weather-dependent generation change tomorrow’s net load and scheduling risk?
Source: Ministry / PIB, July 2025 ↗Flexibility becomes a planning question
The Ministry highlights battery storage, pumped hydro and a digitally integrated grid as priorities for reliability through the transition.
The decision: when do additional supply, storage or operational flexibility change the cost-risk trade-off?
Source: Ministry / PIB, July 2025 ↗Market design continues to evolve
CERC published 2026 staff papers on shorter real-time scheduling timelines and a capacity market. These are policy discussions; the papers alone do not establish adopted rules.
The decision: how can teams compare options faster while keeping data, constraints and approvals traceable?
Source: CERC discussion-paper register ↗Our interpretation: these changes make uncertainty, flexibility and decision speed valuable areas to test. Impact will differ by portfolio; the pilot must establish the benefit for your operation. Sources reviewed 14 October 2026.
Bring the methods.
Build around the Indian decision.
Our team combines U.S. national-laboratory research, power-system analytics and global operations with Indian engineering education and energy-sector delivery experience. We apply that experience to your operating context: Indian weather and demand patterns, your contracts, applicable central and state requirements, and the data your systems can reliably provide.
Start with the forecast you already use. Test uncertainty against your history. Compare feasible options with your team. Keep execution in your authorized workflow.
A focused, low-friction entry
One decision owner. One approved read-only data source. One measurable shadow pilot. Direct access to the people building the solution.
| Experience we bring | How we adapt it for India | What your team gains |
|---|---|---|
| Probabilistic forecasting and uncertainty modeling | Calibrate on local weather, seasons, operating history and your incumbent forecasts. | A view of forecast risk that can inform a buffer or schedule. |
| Power-system modeling and optimization | Use your asset limits, network constraints, contracts and available flexibility. | Options that respect the physical and commercial context. |
| Operations, procurement and project delivery | Fit the pilot to approvals, tender requirements, data access and team responsibilities. | A clear path from analytical evidence to an owned decision. |
| Connected analytics and governed tool use | Use approved APIs, read-only views and exports; introduce optional AI tools only where useful. | Adoption alongside existing systems and accountable people. |
What we are building toward
Demand and renewable uncertainty linked to procurement, scheduling and flexibility choices.
Optional AI assistance retrieves approved evidence, explains scenarios and prepares a decision record for review.
Customer-specific storage, contract and asset constraints added through a validated pilot.
These are development directions, not claims of live customer integration. This website demonstrates synthetic forecast, risk and buffer scenarios. Storage optimization, live data adapters and AI agents are not operating here.