Utilities turning to data-rich edge devices and resilient backhaul systems

With 240 GW of thermal and 235.7 GW of non-fossil capacity, grids must manage fluctuating injections while maintaining supply quality. Gopinath Mishra, AVP of Product Management at Kimbal, discusses the surge in India's installed capacity to 476 GW, which requires adaptive grid architectures that balance scale, variability, and digital intelligence.

- Gopinath Mishra

How are utilities leveraging AMI 2.0, Al-driven transmission, and self-healing distribution systems to enhance grid reliability and flexibility?

The country's 476 GW power landscape demands adaptive grid architectures that balance scale, variability, and digital intelligence. With 240 GW of thermal and 235.7 GW of non-fossil capacity (including 110.9 GW of solar), grids must manage fluctuating injections while maintaining quality. The expansion of electrification and the rise of prosumers necessitate bidirectional monitoring, faster fault isolation, and voltage control. A multi-tier AMI network now underpins prepay, demand response, and outage management. Urban grids need AI-based forecasting, while rural ones benefit from DER-centric microgrids. Utilities are thus turning to data-rich edge devices and resilient backhaul systems. OEMs must enable scalable, interoperable solutions through hardware-agnostic controllers.