Energy Management Systems

Renewable energy is abundant but intermittent. Demand is growing but uneven. Infrastructure exists but is often misaligned with where and when power is needed. In this environment, the grid has become more than a passive network; it is an active balancing system. Its resilience will determine whether the energy transition delivers stability or introduces volatility.

India’s renewable energy push is inherently decentralized. Solar parks in Rajasthan, wind farms in Gujarat and Tamil Nadu, and hybrid projects across states are often located far from consumption centers. Bridging these geographical gaps requires robust, resilient, and future ready transmission network. Without it, even the most ambitious generation targets risk underutilization.

By applying advanced machine learning and data analytics, AI can improve energy efficiency, strengthen grid resilience, and enable more intelligent and effective resource utilisation. Strategies for energy efficiency and innovations in smart grids powered by AI could generate up to $1.3 trillion in economic value by 2030.

The AI revolution has given us the ability to create predictive analyses, autonomy, and resilience in our energy systems. This will allow for the transformation of decentralized and disconnected energy systems into a single integrated network providing flexible, adaptive solutions.

Researchers at Germany’s Fraunhofer FKIE institute developed PowerRange, a virtual simulation platform that helps power grid operators safely test cybersecurity measures and respond to realistic cyberattacks. The platform supports both traditional and renewable grids, offering immersive training across IT, OT, and control systems while highlighting the importance of coordination, communication, and practical defense strategies.

Siemens Energy India Ltd has reported a 26% year-on-year increase in revenue to INR 1,911 crore and a 34.9% rise in profit after tax to INR 313 crore for the quarter ended December 2025 (Q1 FY2026). The company’s order backlog expanded 37.6% to INR 17,599 crore.

Arun Unni, Executive Vice President and Business Head – New Energy & Head of Strategy at Thermax, speaks to pv magazine about the evolving green hydrogen market, electrolysis economics, and the company’s ambitions in this space through global technology tie-ups. He also discusses the emerging carbon credit trading system and new opportunities for Thermax in biomass, sustainable fuels, and round-the-clock renewable energy solutions.

The Indian power system is evolving faster than most global peers. Electricity demand is rising. Rooftop solar, electric mobility, and distributed generation are accelerating. The grid, once designed for predictable one-direction flows, is becoming a dynamic, decentralised organism. To manage it, India requires data that is just as distributed as the energy sources feeding the system. This is where decentralised RF mesh networks have begun to play an important role.

Every new 5G deployment, data centre expansion, or broadband rollout depends on power and cooling architectures that operate quietly in the background, ensuring continuity, efficiency, and resilience.

The largest area of green financing is energy-efficient machinery, which supports MSMEs in modernising production lines and reducing operational energy consumption. Significant capital is also being channelled into rooftop solar installations, electric vehicles, and enterprises operating in the water, sanitation, and hygiene (WASH) sectors, across clusters such as manufacturing, healthcare, and food processing.