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  "Title": "'Hydropeaking Events Detection Algorithm'",
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  "Authors@R": "c(person(\"Tingyu\", \"Li\", email = \"styli@ucdavis.edu\", role = c(\"aut\", \"cre\")), person(\"Xiaotian\", \"Zou\", email = \"xtzou@ucdavis.edu\", role = \"aut\"), person(\"Gregory\", \"Pasternack\", email = \"gpast@ucdavis.edu\", role = \"aut\"))",
  "Description": "This tool identifies hydropeaking events from raw\ntime-series flow record, a rapid flow variation induced by the\nhourly-adjusted electricity market. The novelty of 'HEDA' is to\nuse vector angle instead of the first-order derivative to\ndetect change points which not only largely improves the\ncomputing efficiency but also accounts for the rate of change\nof the flow variation. More details\n<doi:10.1016/j.jhydrol.2021.126392>.",
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  "Encoding": "UTF-8",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-11 08:34:53 UTC",
    "User": "root"
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  "Author": "Tingyu Li [aut, cre], Xiaotian Zou [aut], Gregory Pasternack\n[aut]",
  "Maintainer": "Tingyu Li <styli@ucdavis.edu>",
  "Repository": "https://ninalty.r-universe.dev",
  "Date/Publication": "2021-07-20 18:00:02 UTC",
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  "_created": "2026-10-11T08:34:53.000Z",
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