Infrastructure Engineering - Research Publications

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Type: Dataset × Author: Hui, Kin × Author: Aye, Lu × Start date: 2021 ×

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Now showing 1 - 3 of 3
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    Dataset on effects of learning curve models on onshore wind and solar PV cost developments in the USA (Version 2)
    Castrejon Campos, O ; Aye, L ; Hui, KP ( 2022-02-21)
    This dataset includes input data to estimate learning-by-deploying (LbD) and learning-by-researching (LbR) rates for onshore wind and solar PV in the United States of America (USA). Using different learning curve approaches the simulated technological-based cost developments are also presented. Coefficient of determination (R squared) and Root Mean Square Error (RMSE) were applied for quantification of the agreement between simulated and observed technological-based costs.
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    Dataset on effects of learning curve models on onshore wind and solar PV cost developments in the USA
    Castrejon Campos, O ; Aye, L ; Hui, K ( 2021-11-03)
    This dataset includes input data to estimate learning-by-deploying (LbD) and learning-by-researching (LbR) rates for onshore wind and solar PV in the United States of America (USA). Using different learning curve approaches the simulated technological-based cost developments are also presented. Coefficient of determination (R squared) and Root Mean Square Error (RMSE) were applied for quantification of the agreement between simulated and observed technological-based costs.
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    Dataset on effects of learning curve models on clean energy technology cost developments
    Castrejón Campos, O ; Aye, L ; Hui, KF ( 2021-01-21)
    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.