ET AI Awards 2025: Nominate now for the AI for Energy & Utility Optimisation category

India’s energy sector stands at a critical juncture, balancing surging demand with ambitious decarbonisation commitments. The nation’s energy demand is set to double by 2030, whilst renewable energy capacity is projected to cross 500 gigawatts before that milestone, requiring unprecedented grid sophistication, according to government projections. Artificial intelligence (AI) has emerged as the enabling technology for this transition, transforming how utilities forecast generation, balance loads, manage infrastructure, and prevent blackouts. In September 2025, Grid India, the national load dispatch centre operator, announced plans to embed AI deep into operations of the world’s largest unified power grid for real-time risk detection, fault prediction and market manipulation surveillance, marking a strategic shift from forecasting to deploying AI as a core reliability and security layer. The ET AI Awards 2025 recognise this transformation through a dedicated category honouring large enterprises using AI to redefine energy and utility operations.

Nominate Here for ET AI Awards 2025

What this award recognises

The Energy & Utility Optimisation award celebrates large-scale power companies, grid operators, renewable energy developers, and utilities that have operationalised AI across critical functions, including renewable energy forecasting for solar and wind variability management, smart grid optimisation for load balancing and voltage stability, predictive maintenance to reduce equipment failures and outages, demand-side management for peak load reduction and energy efficiency, transmission and distribution loss reduction, which currently stands at 20% to 30% in India, according to government data, energy storage optimisation for battery dispatch and lifecycle management, and cybersecurity and fraud detection for grid protection and revenue assurance. Excellence requires demonstrating measurable outcomes in reliability, cost efficiency, carbon reduction, or grid resilience, supported by operational data and independent validation.

Who should nominate
This category is designed for established power generation companies operating thermal, hydro, nuclear, or renewable assets, transmission and distribution utilities managing state or regional networks, grid operators responsible for load dispatch and system balancing, renewable energy developers with large-scale solar or wind portfolios, integrated energy companies spanning generation through retail supply, and smart metering and energy management technology providers serving utility clients. Eligible organisations typically manage gigawatt-scale generation or distribution capacity, serve millions of customers across multiple states, operate critical national or regional grid infrastructure, and face complex regulatory oversight from bodies such as the Central Electricity Regulatory Commission. Nominations should demonstrate production-level AI deployments with sustained operational impact, not experimental pilots or laboratory prototypes.

Defining excellence in energy AI
What distinguishes award-winning energy AI from incremental automation? First, operational validation through real-world performance under stress conditions, including peak demand periods, extreme weather events, or renewable variability. In Gujarat, AI-driven models reduced the gap between predicted and actual solar power generation by 30 per cent, helping grid operators optimise energy distribution according to government pilot data. Second, measurable impact on grid reliability and efficiency. Grid India’s new AI systems will detect weak points and abnormal patterns across geographically dispersed assets using real-time streaming data at 40-millisecond resolution, helping avert wide-area blackouts by shifting from reactive post-fault analysis to predictive, pre-fault intervention. Third, contribution to India’s renewable energy integration challenge. States such asKarnataka, where solar and wind contribute 29 per cent of annual electricity generation, Rajasthan at 20 per cent, Tamil Nadu at 18 per cent, and Gujarat at 14 per cent, require sophisticated AI to manage intermittency and maintain grid stability. Fourth, responsible deployment addressing data privacy, cybersecurity and equitable access. AI must protect critical infrastructure whilst ensuring benefits reach both urban and rural areas.

Real-world applications driving impact
AI transformation in Indian energy manifests across multiple domains. In renewable forecasting, machine learning (ML) analyses weather patterns, satellite imagery, and historical performance to predict solar and wind generation hours ahead, enabling grid operators to schedule backup capacity and maintain frequency stability. In grid management, Tata Power has operationalised AI through partnerships with BluWave-ai, deploying cloud-based real-time operations that enhance baseline systems, improve operational efficiency, and support the company’s ambitious renewable energy targets. In predictive maintenance, AI analyses Supervisory Control and Data Acquisition data to identify equipment wear or inverter issues before outages occur, allowing maintenance teams to schedule preventive actions during low-demand periods. In demand-side management, AI enables real-time load balancing, optimising energy consumption patterns to reduce peak demand and integrate distributed resources like rooftop solar and electric vehicles. In fraud detection, AI-powered systems analyse consumption patterns to flag unusual activity indicating theft, which remains a significant revenue challenge for Indian utilities. In market operations, generative AI platforms summarise lengthy tender documents, identify risks and opportunities, and reduce review times from days to hours.

The strategic imperative and infrastructure challenge
India’s energy AI adoption faces both opportunities and constraints. Whilst the potential is immense, significant infrastructure gaps persist. According to government data, only 0.44 million distribution transformers, representing just 3 per cent of the total, currently have smart metres functioning in communicating mode, limiting the data foundation required for sophisticated AI applications. India’s existing energy infrastructure is largely outdated and incompatible withthe latest AI technologies, requiring approximately ₹2,442 billion in grid expansion and related infrastructure investment. Meanwhile, AI itself creates energy demand. According to the International Energy Agency, electricity demand from data centres for AI worldwide is set to more than double by 2030 to around 945 terawatt-hours, whilst in India specifically, AI-driven data centres are predicted to consume an additional 40 to 50 TWh annually by 2030. This paradox requires energy utilities to deploy AI strategically, ensuring that efficiency gains exceed the technology’s own consumption footprint.

Why national recognition matters
For large energy organisations, the ET AI Awards 2025 recognition offers strategic advantages. National validation from one of India’s most prestigious legacy business platforms strengthens institutional reputation, validates transformation efforts to boards, investors, and regulators, attracts top technical talent in a competitive market for AI and energy expertise, enhances stakeholder confidence through third-party endorsement, supports dialogue with policymakers on grid modernisation frameworks and incentive schemes, and provides benchmarking insights through exposure to peer achievements. Winners gain a dedicated profile on EconomicTimes.com, extensive media coverage, and invitations to energy policy forums where partnerships with technology providers, research institutions and international collaborators emerge.

The broader ecosystem impact
Recognising excellence in energy AI accelerates national climate and energy security goals. It sets operational and technical benchmarks that guide smaller utilities and renewable developers, informs policy on AI regulation, grid standards, and data governance, attracts investment into India’s clean energy infrastructure and smart grid technologies, demonstrates to global observers that Indian utilities compete at the innovation frontier, and inspires cross-sector learning as energy innovations find applications in transport electrification, industrial efficiency, and urban planning. By celebrating responsible, impactful AI deployment, the awards strengthen India’s vision of achieving energy self-sufficiency, climate leadership, and universal electricity access.

Nominations close on 27 November 2025, with the awards ceremony scheduled for 26 February 2026 in Bengaluru. The evaluation process, overseen by an eminent jury with EY as Knowledge Partner, ensures technical rigour, operational credibility, and alignment with national energy priorities. Whether your strength lies in renewable forecasting, grid optimisation, predictive maintenance, or demand management, this category offers a platform to showcase your leadership in India's AI-powered energy transformation. Supporting documentation should include operational performance data, regulatory compliance certifications, independent technical audits, customer or stakeholder testimonials, and case studies demonstrating AI effectiveness during peak demand or grid stress events.

Nominate Here for ET AI Awards 2025