dc.contributor.author | Llaugel, Felipe | |
dc.contributor.author | Ridley, Dennis | |
dc.contributor.author | Cespedes, Amparo | |
dc.date.accessioned | 2023-01-19T15:41:33Z | |
dc.date.available | 2023-01-19T15:41:33Z | |
dc.date.issued | 2020-03 | |
dc.identifier.citation | Llaugel, F., Ridley, D., Cespedes, A. (2020). Universidad Autónoma de Santo Domingo energy forecast. Proceedings of the 2020 IEMS Conference, 26, 162-170. | |
dc.identifier.issn | 2690-3210 (print) | |
dc.identifier.issn | 2690-3229 (online) | |
dc.identifier.uri | https://soar.wichita.edu/handle/10057/24936 | |
dc.description | Published in SOAR: Shocker Open Access Repository by Wichita State University Libraries Technical Services, December 2022. | |
dc.description | The IEMS'20 conference committee: Wichita State University, College of Engineering (Sponsor); Gamal Weheba (Conference Chair); Hesham Mahgoub (Program Chair); Dalia Mahgoub (Technical Director); Ron Barrett-Gonzalez (Publications Editor) | |
dc.description.abstract | Energy time series data for Universidad Autónoma de Santo Domingo is analyzed and forecast by the moving window spectral method to capture cyclical components and effects. The historical record is 217 months from March 2001 to March 2019. A model is fitted to 205 historical observations from March 2001 to March 2018. The forecast period is 12 months from April 2018 to March 2019. The two overlapping 12 actual and forecast months are compared. | |
dc.format.extent | 9 pages | |
dc.language.iso | en_US | |
dc.publisher | Industry, Engineering & Conference Management Systems Conference | |
dc.relation.ispartofseries | Proceedings of the 2020 IEMS Conference | |
dc.relation.ispartofseries | v.26 | |
dc.subject | Energy forecasting | |
dc.subject | Universidad Autónoma de Santo Domingo | |
dc.title | Universidad Autónoma de Santo Domingo energy forecast | |
dc.type | Conference paper | |
dc.rights.holder | International Conference on Industry, Engineering, and Management Systems | |