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    Dataset on effects of learning curve models on clean energy technology cost developments

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    Author
    Castrejón Campos, O; Aye, L; Hui, KF
    Date
    2021-01-21
    University of Melbourne Author/s
    Aye, Lu
    Affiliation
    Infrastructure Engineering
    Metadata
    Show full item record
    Document Type
    Dataset
    Citations
    Castrejón Campos, O., Aye, L. & Hui, K. F. (2021). Dataset on effects of learning curve models on clean energy technology cost developments
    Access Status
    Access this item via the Open Access location
    URI
    http://hdl.handle.net/11343/258762
    DOI
    10.17632/9spxxny27f.1
    Open Access URL
    http://dx.doi.org/10.17632/9spxxny27f.1
    Abstract
    This dataset includes input data to estimate learning-by-doing (LbD) and learning-by-researching (LbR) rates for onshore wind and solar PV in the United States. Using different learning curve approaches the simulated technology cost developments are also presented. Coefficient of determination (R square) and Root Mean Square Error (RMSE) were applied for quantification of the agreement between simulated and observed technology costs.

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