{
  "annotation_id": "d5eaf71a-bf07-4693-9b19-06ce0c16437e",
  "date_created": "2026-03-02T18:00:53.637000Z",
  "date_modified": "2026-03-02T18:00:53.637000Z",
  "file_hash": "b47e217f24dd1e4d9edd4d0c011a98cb24b67fd6251706e48348b6363f7348e2",
  "private": false,
  "record": {
    "abstract": "In this report, a systematic analysis of hourly wind speed data obtained from\nthree potential wind generation sites (in North Dakota) is analyzed. The power\nspectra of the data exhibited a power-law decay characteristic of\n$1/f^{\\alpha}$ processes with possible long-range correlations. Conventional\nanalysis using Hurst exponent estimators proved to be inconclusive. Subsequent\nanalysis using detrended fluctuation analysis (DFA) revealed a crossover in the\nscaling exponent ($\\alpha$). At short time scales, a scaling exponent of\n$\\alpha \\sim 1.4$ indicated that the data resembled Brownian noise, whereas for\nlarger time scales the data exhibited long range correlations ($\\alpha \\sim\n0.7$). The scaling exponents obtained were similar across the three locations.\nOur findings suggest the possibility of multiple scaling exponents\ncharacteristic of multifractal signals.",
    "arxiv_id": "physics/0411194",
    "authors": [
      "Rajesh G. Kavasseri",
      "Radhakrishnan Nagarajan"
    ],
    "categories": [
      "physics.data-an"
    ],
    "journal_ref": "IEEE Transactions on Circuits and Systems, vol.51 (11), 2004,\n  2255-2262",
    "title": "Evidence of crossover phenomena in wind speed data",
    "url": "https://arxiv.org/abs/physics/0411194"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "b22ec33b-60e6-462a-9da6-39bf9cb28040",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}