{ "_id": "6adc89df1f8fc22f6383e568", "Package": "DSWE", "Title": "Data Science for Wind Energy", "Version": "1.8.4", "Authors@R": "c(\nperson(given = \"Nitesh\", family = \"Kumar\", role = c(\"aut\"), email = \"nkumar.tamu@gmail.com\"),\nperson(given = \"Abhinav\", family = \"Prakash\", role = c(\"aut\"), email = \"aprakashphd@gmail.com\"),\nperson(given = \"Yu\", family = \"Ding\", role = c(\"aut\",\"cre\"), email = \"yuding2007@gmail.com\"),\nperson(given = \"Effi\", family = \"Latiffianti\", role = c(\"ctb\",\"cph\"), email = \"latiffianti@gmail.com\"),\nperson(given = \"Ahmadreza\", family = \"Chokhachian\", role = c(\"ctb\",\"cph\"), email = \"ar.chokhachian@gmail.com\"))", "Description": "Data science methods used in wind energy applications.\nCurrent functionalities include creating a multi-dimensional\npower curve model, performing power curve function comparison,\ncovariate matching, and energy decomposition. Relevant works\nfor the developed functions are: funGP() - Prakash et al.\n(2022) , AMK() - Lee et al.\n(2015) , tempGP() - Prakash\net al. (2022) ,\nComparePCurve() - Ding et al. (2021)\n, deltaEnergy() - Latiffianti\net al. (2022) , syncSize() - Latiffianti\net al. (2022) , imptPower() - Latiffianti\net al. (2022) , All other functions - Ding\n(2019, ISBN:9780429956508).", "License": "MIT + file LICENSE", "URL": "https://github.com/TAMU-AML/DSWE-Package,\nhttps://aml.engr.tamu.edu/book-dswe/", "BugReports": "https://github.com/TAMU-AML/DSWE-Package/issues", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.2.3", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-10-24 10:28:29 UTC", "User": "root" }, "Author": "Nitesh Kumar [aut], Abhinav Prakash [aut], Yu Ding [aut, cre],\nEffi Latiffianti [ctb, cph], Ahmadreza Chokhachian [ctb, cph]", "Maintainer": "Yu Ding ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2025-10-11 21:00:02 UTC", "RemoteUrl": "https://github.com/cran/DSWE", "RemoteRef": "HEAD", "RemoteSha": "e23c236ef0f5272a6f48c2dfab8b5001f3702a29", "_user": "cran", "_type": "src", "_file": "DSWE_1.8.4.tar.gz", "_fileid": "https://r2.ropensci.org/38a99d4aa3744fa4dbcb588fcc17dccf12c2907d77963908e2e7c47455693c87", "_filesize": 2702683, "_sha256": 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