TRV-2026-1905Certified recordPeer-reviewed

The role of artificial intelligence in energy systems development: A comparative analysis of national strategies and future directions

Artificial intelligence is expanding rapidly across energy systems, offering tools for renewable integration, forecasting, grid reliability, and demand management while also increasing electricity and infrastructure demand. Yet evidence of its energy-system benefits remains fragmented across national contexts and is often synthesised without accounting for differences in evidence quality or governance. This study addresses that gap through a systematic review of 146 peer-reviewed studies and authoritative report…

Climate · Good Space — documented gain · certified 2026-10-19 · v1 · article view · machine-readable

Current reading — gain

Reported studies show better renewable-energy forecasting, and CNN-based and explainable machine-learning methods have been applied to power-system fault detection.

What this doesn’t fix

Country-specific quantitative validation of AI's energy-system benefits remains uneven, and the evidence is fragmented across national contexts.

Evidence

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Truvace Impact Record TRV-2026-1905, v1: “The role of artificial intelligence in energy systems development: A comparative analysis of national strategies and future directions.” Truvace, 2026-10-19. /record/TRV-2026-1905 (accessed at citation time). sha256 4efa537e487ba735…

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