Please use this identifier to cite or link to this item:
http://arks.princeton.edu/ark:/88435/dsp01v118rd63m
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Powell, Warren | - |
dc.contributor.author | Zheng, Haotian (Cosmo) | - |
dc.date.accessioned | 2013-07-15T15:07:47Z | - |
dc.date.available | 2013-07-15T15:07:47Z | - |
dc.date.created | 2013-04-15 | - |
dc.date.issued | 2013-07-15 | - |
dc.identifier.uri | http://arks.princeton.edu/ark:/88435/dsp01v118rd63m | - |
dc.description.abstract | Developing a model that accurately replicates the stochastic process exhibited by electricity prices has been a significant challenge for practitioners and researchers alike. The exceptional volatility of electricity prices makes the buying and selling of electricity a mathematically complex issue. We present a structural model that provides useful insights into the impact of changes in electrical demand and supply on the price of electricity. The model will make use of stochastic supply perturbations to reflect the unexpected changes in generation capacity which have been observed to be linked to large price movements. In doing so, we hope to achieve a better understanding of how and to what extent supply shocks impact and replicate price movements. | en_US |
dc.format.extent | 111 pages | en_US |
dc.language.iso | en_US | en_US |
dc.title | Replicating Electricity Spot Prices Through Inverse Optimization Of Supply Shocks | en_US |
dc.type | Princeton University Senior Theses | - |
pu.date.classyear | 2013 | en_US |
pu.department | Operations Research and Financial Engineering | en_US |
pu.pdf.coverpage | SeniorThesisCoverPage | - |
dc.rights.accessRights | Walk-in Access. This thesis can only be viewed on computer terminals at the <a href=http://mudd.princeton.edu>Mudd Manuscript Library</a>. | - |
pu.mudd.walkin | yes | - |
Appears in Collections: | Operations Research and Financial Engineering, 2000-2020 |
Files in This Item:
File | Size | Format | |
---|---|---|---|
Zheng Cosmo Final Thesis.pdf | 9.66 MB | Adobe PDF | Request a copy |
Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.