New Delhi, November 13: India has stepped up its efforts to position itself as a hub for AI-led clean energy innovation, with the Ministry of Electronics and IT (MeitY) announcing a global call for submissions for a new casebook aimed at documenting high-impact applications of artificial intelligence across the energy sector.
The initiative—developed jointly by the India-AI Mission and the International Energy Agency (IEA)—seeks contributions from startups, research groups, energy-tech companies and practitioners implementing AI solutions in energy production, distribution and consumption.
AI for Energy: India Expands its Global Footprint
The upcoming casebook is expected to serve as a curated global repository of real-world deployments of AI in areas such as grid optimisation, renewable forecasting, industrial efficiency, battery management, and demand prediction.
By partnering with IEA, India aims to tap into global datasets and analytical frameworks while pushing AI adoption aligned with the priorities of the Global South.
Officials said the collaboration will help build a strong knowledge-sharing pipeline for policymakers and industry leaders preparing for a transition to smarter, data-driven energy systems.
Submissions Open Till November 21
Researchers, innovators and domain experts who have executed scalable and measurable AI interventions in the energy domain can submit a 200-word abstract by November 21, 2025.
Selected contributors will be invited to write an 800-word chapter for the casebook.
Casebook to Debut at India-AI Impact Summit 2026
The final compilation will be launched at the India-AI Impact Summit, scheduled for February 19–20, 2026, in New Delhi.
The summit is expected to draw global participation from governments, clean-tech firms, AI startups, utilities and energy regulators.
Strengthening India’s AI-Energy Strategy
The IndiaAI Mission has been accelerating sector-specific deployments across mobility, health, agriculture and public infrastructure. The energy-focused casebook marks a strategic addition at a time when utilities worldwide are turning to machine learning-based optimisation tools to reduce emissions and cut systemic inefficiencies.
The IEA, which represents countries accounting for 75% of global energy demand, is expected to bring global benchmarking and best practices to the initiative.
Submission guidelines and application forms are available at the IndiaAI Impact portal.
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