Simarpreet Singh is a dynamic leader and trailblazer in India’s clean energy revolution, credited with transforming a regional enterprise into a nationally acclaimed powerhouse in the power and renewable energy sector. His electrical engineering background and advanced educational training at SPJIMR and Harvard Business School has enabled him to develop strategic growth strategies that create innovative solutions for sustainable business expansion in several sectors. His international recognition includes recognition among Forbes 30 Under 30 Asia recipients and his work as a TEDx speaker while maintaining a strong commitment to empowering youth and building the nation. His podcast titled 'The Journey with Simarpreet Singh' motivates thousands of listeners by featuring crucial societal leaders.

In a recent interaction with Mandvi Singh, Managing Editor, siliconindia, Simarpreet Singh shared his insights on ‘Energy Symbiosis: How AI-Driven Power Systems Can Self-Heal and Evolve in Real Time’.

AI is transforming every industry, including the power sector. AI-powered self-healing grids enhance energy reliability by analyzing real-time data to detect and resolve issues quickly. Machine learning helps monitor grid performance, identifying potential failures before they happen. Automated systems can isolate affected areas and reroute power, minimizing disruptions and reducing the need for manual intervention. Companies like Hartek are among the country's leading power system providers, partnering with major organizations and PSUs. Leveraging AI-driven tools and automation systems like SCADA is crucial for us to optimize our services and solutions, ultimately improving the quality and efficiency of our products. We strongly believe that AI-powered systems will shape the future of the power sector in India.

AI-Driven Resilience for Net-Zero Power Grids

Key challenges in training AI for grid failure prediction involve handling complex data, ensuring real-time analysis, and mitigating bias from historical data. AI improves crisis management by enhancing grid operation and energy distribution through dynamic routing and big data analysis. Predictive maintenance, powered by AI, anticipates equipment failure using sensor data, reducing outages and costs. AI also facilitates the integration of renewable energy sources by predicting generation and optimizing energy storage. Real-time fault detection and cybersecurity improvements further stabilize the grid and protect against disruptions.

AI can optimize the coordination of distributed energy resources (DERs) like batteries and microgrids by using advanced algorithms to balance energy supply and demand in real time. It enables predictive analytics to forecast energy usage and generation, improving efficiency and reliability. AI also facilitates decentralized decision-making, allowing DERs to operate autonomously while maintaining grid stability. By integrating these resources seamlessly, AI supports the transition to a resilient, adaptive energy ecosystem. This enhances energy efficiency, reduces costs, and promotes sustainability in decentralized grids.

AI can accelerate the transition to net-zero by optimizing energy consumption, improving climate modeling, and enabling smarter grids. Policymakers can leverage AI-driven insights to design data-driven energy strategies. AI can provide user-friendly solutions that enable stakeholders to track their environmental performance. Integrating AI into climate strategies equips the workforce with the skills to lead in the green economy.

AI can optimize the coordination of distributed energy resources (DERs) like batteries and microgrids by using advanced algorithms to balance energy supply and demand in real time.

The Role of AI in Building a Resilient, Sustainable Energy Future

India's AI policies, including the INDIAai mission, can accelerate self-healing power grids by enabling real-time fault detection, predictive maintenance, and the integration of renewable energy. AI enhances grid resilience by optimizing operations and ensuring efficient energy management. It also strengthens cybersecurity by adapting threat detection mechanisms to safeguard critical infrastructure. Ethical concerns like transparency and fairness can be addressed through robust policy frameworks. These efforts will modernize India's power grids into intelligent, sustainable, and secure systems.

Building a resilient, AI-driven energy infrastructure requires strong collaboration across sectors. The government should lead the way by establishing policies for net-zero hyperscale data centers and funding pilot projects that promote energy and water efficiency. Research institutions must drive innovations to minimize energy consumption in AI processing. Private enterprises play a key role in executing large-scale, high-quality renewable energy projects. Additionally, these partnerships should prioritize workforce development and strengthen data protection through robust regulations to build trust in AI-powered systems. For companies like Hartek, such initiatives create opportunities to integrate advanced clean energy solutions, enhance grid efficiency, and drive sustainable growth in the power sector.

Looking Ahead

AI-driven power systems will be the future of grid management through their ability to perform real-time fault detection and optimize energy distribution while allowing the systems to self-heal. These systems employ sophisticated algorithms to diagnose faults autonomously while simultaneously conducting repairs that boost performance levels and enable smooth renewable energy auxiliary while lowering operational expenses and maintenance stoppages. AI's evolution will transform the power grid into an adaptive and resilient system allowing it to function with higher efficiency thus reshaping the energy sector. The ongoing research activities and strategic partnerships between institutions will help AI achieve sustainable energy targets toward a zero-carbon future.