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

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.

Identifier
DOI https://doi.org/10.17632/9spxxny27f.1
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-ns-jef7
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:198424
Provenance
Creator Castrejon-Campos, O
Publisher Data Archiving and Networked Services (DANS)
Contributor Omar Castrejon-Campos
Publication Year 2021
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/licenses/by/4.0; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Representation
Resource Type Dataset
Discipline Other