Reply to ‘The perils of automated fitting of datasets: the case of a wind turbine cost model’

    Research output: Contribution to journalArticleScientificpeer-review

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    Abstract

    Assessing the investment costs of wind power plants with different technological
    parameters is a challenging task. Previously, a cost model to predict specific investment costs using chosen technology parameters was created by fitting a function to cost data. The model, however, shows incorrect scaling behaviour with large installed capacity. A new model was tested with the original data, but it is difficult to estimate its quality without an extensive analysis.
    Original languageEnglish
    JournalNature Energy
    Publication statusSubmitted - 13 Aug 2019
    MoE publication typeA1 Journal article-refereed

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    Wind turbines
    Costs
    Wind power
    Power plants

    Cite this

    @article{d312fd093216415299c50f6f94fee0d3,
    title = "Reply to ‘The perils of automated fitting of datasets: the case of a wind turbine cost model’",
    abstract = "Assessing the investment costs of wind power plants with different technologicalparameters is a challenging task. Previously, a cost model to predict specific investment costs using chosen technology parameters was created by fitting a function to cost data. The model, however, shows incorrect scaling behaviour with large installed capacity. A new model was tested with the original data, but it is difficult to estimate its quality without an extensive analysis.",
    author = "Erkka Rinne",
    year = "2019",
    month = "8",
    day = "13",
    language = "English",
    journal = "Nature Energy",
    issn = "2058-7546",
    publisher = "Nature Publishing Group",

    }

    Reply to ‘The perils of automated fitting of datasets: the case of a wind turbine cost model’. / Rinne, Erkka.

    In: Nature Energy, 13.08.2019.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Reply to ‘The perils of automated fitting of datasets: the case of a wind turbine cost model’

    AU - Rinne, Erkka

    PY - 2019/8/13

    Y1 - 2019/8/13

    N2 - Assessing the investment costs of wind power plants with different technologicalparameters is a challenging task. Previously, a cost model to predict specific investment costs using chosen technology parameters was created by fitting a function to cost data. The model, however, shows incorrect scaling behaviour with large installed capacity. A new model was tested with the original data, but it is difficult to estimate its quality without an extensive analysis.

    AB - Assessing the investment costs of wind power plants with different technologicalparameters is a challenging task. Previously, a cost model to predict specific investment costs using chosen technology parameters was created by fitting a function to cost data. The model, however, shows incorrect scaling behaviour with large installed capacity. A new model was tested with the original data, but it is difficult to estimate its quality without an extensive analysis.

    M3 - Article

    JO - Nature Energy

    JF - Nature Energy

    SN - 2058-7546

    ER -