Modeling energy systems using large data sets
| dc.contributor.author | Duggan, Gerald P., author | |
| dc.contributor.author | Young, Peter, advisor | |
| dc.contributor.author | Zimmerle, Daniel, advisor | |
| dc.contributor.author | Bradley, Thomas, committee member | |
| dc.contributor.author | Carter, Ellison, committee member | |
| dc.date.accessioned | 2024-05-27T10:32:54Z | |
| dc.date.available | 2024-05-27T10:32:54Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Modeling and simulation are playing an increasingly import role in the sciences, and science is having a broader impact on policy definition at a local, national, and global scale. It is therefore important that simulations which impact policy produce high-quality results. The veracity of these models depend on many factors, including the quality of input data, the verification process for the simulations, and how result data are transformed into conclusions. Input data often comes from multiple sources and it is difficult to create a single, verified data set. This dissertation describes the challenges in creating a research-quality, verified and aggregated data set. It then offers solutions to these challenges, then illustrates the process using three case studies of published modeling and simulation results from different application domains. | |
| dc.format.medium | born digital | |
| dc.format.medium | doctoral dissertations | |
| dc.identifier | Duggan_colostate_0053A_18313.pdf | |
| dc.identifier.uri | https://hdl.handle.net/10217/238512 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 2020- | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.subject | large data | |
| dc.subject | science informed policy | |
| dc.subject | modelling | |
| dc.subject | energy simulation | |
| dc.title | Modeling energy systems using large data sets | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Systems Engineering | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Doctoral | |
| thesis.degree.name | Doctor of Philosophy (Ph.D.) |