Modeling electricity spot prices: a stochastic mean reverting jump- diffusion model with multiple reversion rates

dc.contributor.authorNampala, Hasifa
dc.date.accessioned2021-01-23T09:04:38Z
dc.date.available2021-01-23T09:04:38Z
dc.date.issued2010
dc.descriptionAvailable in print form, EAF Collection, Dr. Wilbert Chagula Library, (THS EAF HF5439.E45N35)en_US
dc.description.abstractThe nature of electricity and the behavior of electricity prices differ from that of other commodity markets. One reason for this difference is that electricity is a nonstorable good so it must be consumed almost at the instant it is generated. In most countries where electricity is deregulated, the demand for electricity is highly inelastic into rapidly rising prices, known as price spikes which stand out from the base price. The aim of this work was to identify and analyses the most important features of electricity spot prices, and we proposed a simulation algorithm that synthetically reconstructed the behavior of the real spot prices. In order to achieve this, we suggested a stochastic mean reverting jump-diffusion model that with the use of theoretical distributions it is possible to simulate a jumping mean reverting process with parameters close to real data values.en_US
dc.identifier.citationNampala, H (2010) Modeling electricity spot prices: a stochastic mean reverting jump- diffusion model with multiple reversion rates, Masters dissertation, University of Dar es Salaam, Dar es Salaamen_US
dc.identifier.urihttp://41.86.178.5:8080/xmlui/handle/123456789/14338
dc.language.isoenen_US
dc.publisherUniversity of Dar es Salaamen_US
dc.subjectElectric power (selling)en_US
dc.subjectPricesen_US
dc.subjectStochastic modelsen_US
dc.subjectElectric supplyen_US
dc.titleModeling electricity spot prices: a stochastic mean reverting jump- diffusion model with multiple reversion ratesen_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Hasifa Nampala.pdf
Size:
177.57 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: