{
  "id": 12038,
  "url": "https://link.springer.com/article/10.1007/s10462-026-11635-1",
  "title": "Brain-inspired artificial intelligence for self-healing microgrids: a comprehensive review",
  "summary": "The rapid integration of renewable energy sources and the decentralization of power systems have positioned microgrids as essential for sustainable, resilient energy supply. However, their diverse operating conditions and complex topologies pose challenges for stability, protection, and autonomous control, particularly under fault conditions. This article surveys brain-inspired artificial intelligence (BIAI) models that enable self-healing functions in Microgrids (MGs). It covers structure-drive",
  "authors": null,
  "category": "research",
  "topics": "environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-20T00:00:00.000Z",
  "fetched_at": "2026-07-21T05:10:12.656Z",
  "source_slug": "x-artificial-intelligence-review",
  "source_name": "Artificial Intelligence Review",
  "source_homepage": "https://link.springer.com/journal/10462",
  "ethics_ai_record_url": "https://ethics.ai/record/12038",
  "original_url": "https://link.springer.com/article/10.1007/s10462-026-11635-1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}