Publication: Stochastic modeling of photovoltaic power generation and electricity prices
dc.FundingDetails | Norges Forskningsr�d | |
dc.FundingDetails | The authors thank Professor R�diger Kiesel and Nikolaus Luckner from the University of Duisburg-Essen for providing electricity spot price data. Financial support from FINEWSTOCH, a research project funded by the Norwegian Research Council, is also acknowledged. | |
dc.citedby | 3 | |
dc.contributor.affiliations | Faculty of Science and Technology | |
dc.contributor.affiliations | University of Oslo | |
dc.contributor.affiliations | Universiti Sains Islam Malaysia (USIM) | |
dc.contributor.author | Benth, FE | en_US |
dc.contributor.author | Ibrahim, NA | en_US |
dc.date.accessioned | 2024-05-29T02:53:03Z | |
dc.date.available | 2024-05-29T02:53:03Z | |
dc.date.issued | 2017 | |
dc.description.abstract | We propose a stochastic model for the maximal production of photovoltaic (PV) power on a daily basis, based on data from three transmission system operators in Germany. We apply sun intensity as a seasonal function and model the deseasonalized data using an autoregressive process with skewed normally distributed noise, with seasonal variance to explain the stochastic dynamics. It is further demonstrated that the power spot prices are negatively dependent on the PV production. As an application of our results, we discuss virtual power plant derivatives and energy quanto options, as well as continuous-time stochastic processes for PV and power spot price dynamics. | en_US |
dc.description.nature | Final | |
dc.identifier.citation | VOLUME 10, NUMBER 3 (SEPTEMBER 2017) PAGES: 1-33 DOI: 10.21314/JEM.2017.164 | en_US |
dc.identifier.doi | 10.21314/JEM.2017.164 | |
dc.identifier.epage | 33 | |
dc.identifier.isbn | 1756-3615 | |
dc.identifier.issn | 1756-3607 | |
dc.identifier.issue | 3 | |
dc.identifier.scopus | WOS:000412338000001 | |
dc.identifier.scopus | 2-s2.0-85059814480 | |
dc.identifier.spage | 1 | |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059814480&doi=10.21314%2fJEM.2017.164&partnerID=40&md5=c37b62a3dce5f2ca9a5d362a05adf1d7 | |
dc.identifier.uri | https://www.risk.net/journal-of-energy-markets/5327901/stochastic-modeling-of-photovoltaic-power-generation-and-electricity-prices | |
dc.identifier.uri | https://oarep.usim.edu.my/handle/123456789/11361 | |
dc.identifier.volume | 10 | |
dc.language | English | |
dc.language.iso | en_US | en_US |
dc.publisher | Incisive Media | en_US |
dc.relation.ispartof | Journal Of Energy Markets | en_US |
dc.source | Web Of Science (ISI) | |
dc.subject | photovoltaic (PV) power production | en_US |
dc.subject | electricity prices | en_US |
dc.subject | quanto options | en_US |
dc.subject | skewed normal distribution | en_US |
dc.subject | autoregressive-moving-average (ARMA) time series | en_US |
dc.title | Stochastic modeling of photovoltaic power generation and electricity prices | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication |