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Evidence record 9851 · automatically gathered

Explainable artificial intelligence for energy systems maintenance: A review on concepts, current techniques, challenges, and prospects

The rising demand for energy requires high investments in network extensions and renewable sources, alongside replacing inefficient systems. Smart maintenance is important in minimizing unscheduled outages, reducing costs, improving network security, and increasing equipment’s life expectancy. The vast amount of data collected by sensors and measurements in energy networks makes it hard for humans to detect failures continuously. Thanks to recent breakthroughs in AI, the energy sector has booste

Record details

Published: 8 April 2025
Source: OpenAlex
Category: Research
Topics: Transparency · Environment · Finance, VC & PE
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (8 April 2025), “Explainable artificial intelligence for energy systems maintenance: A review on concepts, current techniques, challenges, and prospects,” evidence record 9851, https://ethics.ai/record/9851 (originally published by OpenAlex).

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