Artificial intelligence is reshaping renewable energy economics, with India joining global peers in deploying AI-backed forecasting, trading, and grid management tools.
“AI is emerging as the secret weapon to unlock higher penetration of renewables,” said Rahul Tongia, senior fellow at the Centre for Social and Economic Progress. “Forecasting accuracy is improving by over 30 per cent compared to traditional models.”
AI-powered systems allow developers and grid operators to predict fluctuations in solar and wind generation with real-time precision, reducing curtailments and stabilising revenues. Utilities are also embracing AI-driven digital twins to simulate grid performance, cutting planning cycles by nearly half.
For investors, the technology offers higher certainty of returns by minimising losses from outages and balancing costs. India’s grid, historically vulnerable to mismatched supply-demand cycles, is now testing machine learning platforms in states with high renewable penetration such as Tamil Nadu and Gujarat.
“AI-based models give us confidence to scale projects beyond earlier thresholds,” said a senior executive at ReNew Energy Global. “That directly improves the bankability of projects.”
Global capital is flowing into AI start-ups serving the energy sector, with funding doubling to $5.2 billion worldwide in 2024, according to BloombergNEF. Indian firms are beginning to attract this investment, especially in predictive maintenance platforms that reduce downtime.
The shift could accelerate India’s clean power ambitions, enabling grid integration of more than 500 GW of non-fossil fuel capacity by 2030.