Experts Say AI and Machine Learning Can Help Green Power Systems Work Better
January 13, 2026
At the Vibrant Gujarat Regional Conference in Rajkot, specialists and industry leaders called for greater use of artificial intelligence (AI) and machine learning (ML) in managing and expanding renewable energy systems to make India’s power grid more reliable and environmentally friendly. The seminar focused on how these advanced technologies can help plan energy networks, improve smart metering and storage, and support data-based power distribution to meet future demand.
The session, titled around smarter renewable energy integration and advanced storage through AI and ML, was part of the two-day Vibrant Gujarat event aimed at promoting innovation and investment in the region’s energy sector. Speakers highlighted that using AI-driven solutions can strengthen grid readiness, speed up sustainable energy deployment, and help utilities make better decisions using real-time data. They noted that smart storage systems paired with machine learning could reduce waste and balance supply and demand more effectively than traditional methods. Representatives from technology firms, academic institutions, and consulting organizations shared insights on the importance of building frameworks that encourage the adoption of intelligent systems across power networks. Discussions also covered the challenges faced by distribution companies and how analytics and the startup ecosystem can offer innovative ways to overcome them.
Organizers and participants expressed optimism that embracing AI and ML will play a crucial role in developing a sustainable energy future for Gujarat and the wider Indian power sector. The seminar concluded that integrating these technologies into renewable energy planning and operations is essential to building a resilient and efficient electricity ecosystem for the years ahead.