{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreib5zi6klb6pi7xj37na5is6ckv4kvmxsfe32lcnztoyzmnrscdpxq",
    "uri": "at://did:plc:mxzzpugn7bprjjrszwkbez3u/app.bsky.feed.post/3mhr7dgfuesa2"
  },
  "coverImage": {
    "$type": "blob",
    "ref": {
      "$link": "bafkreic5awkmhp3444c25x4qy6bj4x234y4ba6c4sllb2ug3ivnktrjyre"
    },
    "mimeType": "image/jpeg",
    "size": 391229
  },
  "path": "/news/2026-03-framework-bridges-gaps-power-grid.html",
  "publishedAt": "2026-03-23T18:00:05.000Z",
  "site": "https://techxplore.com",
  "tags": [
    "Energy & Green Tech"
  ],
  "textContent": "New research led by Colorado State University highlights a critical need for system-level thinking and innovation in shaping the electric power grid of the future. Professor Zongjie Wang recently published a paper in Scientific Reports outlining a novel framework. The proposed method helps elucidate how different parts of the grid—transmission and distribution operations—work together to make holistic decisions, without requiring system centralization.",
  "title": "New framework bridges gaps in power grid operations with AI technology"
}