# Energy Load and Power Forecasting

{
  "id": "T11052",
  "title": "Energy Load and Power Forecasting",
  "url": "/topics/T11052",
  "kind": "topic-directory",
  "aeo_cohort": "topic-directory",
  "provider": "openalex",
  "revision": "33a77cd4f6580788",
  "catalogue_revision": "f050b5d4780b1289",
  "numeric_address": "36240488453540401",
  "address_version": "morton4x16-v1",
  "coordinates": [
    3,
    22,
    2208,
    11052
  ],
  "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 methods and techniques for forecasting electricity prices and load demand, with an emphasis on short-term forecasting using neural networks, ARIMA models, and probabilistic approaches. The cluster also covers topics related to wind power generation, deep learning applications, and renewable energy forecasting.

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

Source: https://openalex.org/T11052

No owner-reviewed local answer yet.