News Beyond Megawatts: Engineering Intelligence into the Energy Value Chain Date: May 19 2026 Publication: Timestech India’s power sector is changing fast. For decades, the focus was on adding more generation capacity, but today the real question is how intelligently that power is produced, moved, stored, and consumed. As electricity demand keeps rising and the grid becomes more complex, the sector needs a new operating model built on digital tools, data, automation, and secure connectivity. The old model was simple: generate power, transmit it, and hope the system keeps up. That worked when supply was centralised and demand was more predictable. This is no longer the case. India is dealing with rising household consumption, industrial growth, distributed renewables, electric mobility, and a more active consumer base, all at the same time. The Central Electricity Authority (CEA)’s National generation adequacy plan (2026-27 to 2035-36), estimates that peak electricity demand will grow at a compound annual growth rate (CAGR) of 5.58 per cent and energy requirement will expand at a 6.41 per cent CAGR between 2024-25 and 2035-36. India’s peak electricity demand is also projected to reach 459 gigawatt (GW), while the total electricity requirement is expected to rise to 3,365 billion unit (BU) by 2035-36 [1]. The result is a power system that must become not just bigger, but smarter. From generation to optimization The shift begins at the source. Earlier, power plants generated electricity with limited visibility into real-time demand. Today, modern systems can use forecasting to align generation more closely with expected load, reducing waste and improving efficiency. This is especially important because renewable energy is variable by nature: solar depends on daylight and irradiance, while wind output changes by geography and time. Intelligent optimization matters here – better forecasting lets operators schedule generation precisely, curb overproduction, and ease