India to Upgrade Weather Forecasting for Renewable Energy Integration

India is enhancing its weather forecasting systems to better support the country’s rapidly expanding renewable energy sector. Current forecasts lack the resolution needed for the grid’s 15-minute operating cycles, making solar and wind integration challenging. The Central Electricity Authority (CEA) is working on highly granular short-term forecasts and pioneering long-range predictive tools to improve planning.

The government has also shifted to annual energy planning cycles for more accurate forecasting. These measures are seen as vital for ensuring grid stability as India scales up renewable capacity, with 22 GW added in the first half of 2025 and a target of 500 GW non-fossil fuel capacity by 2030.

Experts note that improving forecasting capabilities will also reduce curtailment of renewable energy during low demand periods and ease transmission congestion, allowing cleaner power to be used more efficiently. This move underscores India’s broader strategy to balance rapid green energy growth with the reliability and resilience of its power grid.

Grid-scale renewable integration is fundamentally a data problem as much as an engineering one. Fifteen-minute dispatch cycles require forecasting resolution that most legacy systems were never designed to deliver. India's move to build both granular short-term and long-range predictive tools is precisely the infrastructure upgrade the sector needs as variable renewables move from marginal to dominant shares of generation.

Better forecasting also unlocks material operational value. Reduced curtailment during low-demand periods means more of every installed megawatt actually reaches consumers, improving project economics and reducing effective LCOE. Improved balancing also reduces the need for fossil-fuel backup, driving further emissions and cost savings across the grid.

For utilities, renewable developers, storage operators and industrial energy buyers, Cognitud's data and digital, energy transition and market intelligence teams help clients evaluate forecasting-technology partnerships, structure balancing and firming service arrangements, and build ESG disclosures that translate operational improvements into credible transition narratives for lenders, offtakers and rating agencies.