{
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  "@id": "https://anchorfact.org/kb/ai-smart-grids",
  "headline": "AI for Smart Grids: Load Forecasting, Demand Response, and Grid Stability",
  "description": "AI is the brain of the modern electric grid -- predicting demand hours ahead, optimizing when to charge millions of EVs, and balancing solar and wind power in real-time. From DeepMind's 30-40% energy savings at Google to smart meters learning household usage patterns, AI makes the grid cleaner, cheaper, and more reliable.",
  "dateCreated": "2026-05-24T02:49:13.569Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
    {
      "@type": "CreativeWork",
      "name": "Deep Learning for Smart Grid Load Forecasting and Renewable Energy Prediction (2023-2025 Comprehensive Survey)",
      "sameAs": "https://arxiv.org/search/?query=smart+grid+load+forecasting+deep+learning"
    },
    {
      "@type": "CreativeWork",
      "name": "Reinforcement Learning for Grid Optimization: Battery Storage, EV Charging, and Demand Response",
      "sameAs": "https://arxiv.org/search/?query=reinforcement+learning+grid+optimization"
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}