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Unlocking the next wave of renewable energy with AI

Published in: Solar, Talking Point, Exclusive Articles

Unlocking the next wave of renewable energy with AI image

As the world races to meet surging electricity demand and net zero targets, artificial intelligence is emerging as a critical enabler in the renewable energy transition. From stabilising solar output to powering intelligent microgrids and slashing energy waste across industries, AI and IoT technologies are transforming how we generate, distribute and consume clean electricity.

As global electricity demand is expected to grow by 3.4% annually through 2026, driven by mass electrification and digitalisation, the strain on our existing power infrastructure is mounting. The International Energy Agency (IEA) estimates that the world must add or replace 80 million kilometres of power lines, or roughly everything that exists today, by 2040 to accommodate the surge.

This massive overhaul is not just an engineering challenge; it is a race against time, especially as energy demand is being reshaped by data centres, electric vehicles and digitised economies across Asia and beyond.

To complicate matters further, solar power is being deployed at a record pace as global leaders pledged to triple renewable energy capacity to at least 11,000 GW by 2030. While this signals progress, their success magnifies a fundamental technical weakness: intermittency. To keep grids stable while we chase net zero goals, nations must learn not just to deploy more renewable capacity but to orchestrate it hour by hour and second by second.

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