# Solar Radiation and Photovoltaics

{
  "id": "T11276",
  "title": "Solar Radiation and Photovoltaics",
  "url": "/topics/T11276",
  "kind": "topic-directory",
  "aeo_cohort": "topic-directory",
  "provider": "openalex",
  "revision": "89e05b62798b1e33",
  "catalogue_revision": "f050b5d4780b1289",
  "numeric_address": "36183004602862675",
  "address_version": "morton4x16-v1",
  "coordinates": [
    3,
    17,
    1702,
    11276
  ],
  "answer_status": "Directory metadata; local answer requires separate source review",
  "truth_status": "Subject descriptor, not a factual answer or a demonstrated knowledge gap"
}

This cluster of papers focuses on the application of machine learning methods, particularly artificial neural networks, for forecasting solar radiation and photovoltaic power generation. It covers topics such as solar energy integration, grid-connected PV plant performance prediction, solar position algorithms, and GIS-based site selection for solar farms.

Directory metadata is not a factual answer or evidence of a global knowledge gap.

Source: https://openalex.org/T11276

No owner-reviewed local answer yet.