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Multiple Linear Regression Model Applied to the Projection of Electricity Demand in Colombia
| dc.contributor.author | Garcia-Guiliany, Jesús | |
| dc.contributor.other | De-la-hoz-Franco, Emiro | |
| dc.contributor.other | Rodríguez-Toscano, Andrés-David | |
| dc.contributor.other | De-la-Hoz-Hernández, Juan-David | |
| dc.contributor.other | Hernandez-Palma, Hugo G | |
| dc.date.accessioned | 2022-11-15T19:14:48Z | |
| dc.date.available | 2022-11-15T19:14:48Z | |
| dc.date.issued | 2019-10-10 | |
| dc.date.submitted | 2019-03-09 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12834/779 | |
| dc.description.abstract | The exigencies as soon as to competitiveness and productivity have influenced in the energetic consumption and the demand of electrical energy in Colombia, reason why at the present time it is of much interest and utility to have access to tools or valid models to reach greater knowledge in which related to the possible future projections. Next, the results of a quantitative study are presented that through the analysis of data collected between 2007 and 2017 that made possible the construction of a multiple linear regression model to estimate the demand of electric energy. These types of instruments currently originate as alternatives to promote management strategies in the energy field in the country. The final results allow to visualize an estimated figure for the next periods which will serve to contrast with the official results and to generate from this information possible lines of intervention in different organisms. | spa |
| dc.format.mimetype | application/pdf | spa |
| dc.language.iso | eng | spa |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | * |
| dc.source | International Journal of Energy Economics and Policy | spa |
| dc.title | Multiple Linear Regression Model Applied to the Projection of Electricity Demand in Colombia | spa |
| dcterms.bibliographicCitation | Andrews-Speed, P., Liao, X., Dannreuther, R. (2014), The Strategic Implications of China’s Energy Needs. London: Routledge. | spa |
| dcterms.bibliographicCitation | Ardila, L.M.C., Cardona, C.J.F. (2017), Structure and current state of the wholesale electricity markets. IEEE Latin America Transactions, 15(4), 669-674. | spa |
| dcterms.bibliographicCitation | Banco Mundial. (2017), Sección Indicadores. Available from: https://www.datos.bancomundial.org/indicador. | spa |
| dcterms.bibliographicCitation | Fabra, N., Reguant, M. (2014), Pass-through of emissions costs in electricity markets. American Economic Review, 104(9), 2872-2899. | spa |
| dcterms.bibliographicCitation | Government Publications Office. editor. (GPO). (2016), International Energy Outlook 2016: With Projections to 2040. Government Printing Office. | spa |
| dcterms.bibliographicCitation | Holmberg, K., Erdemir, A. (2017), Influence of tribology on global energy consumption, costs and emissions. Friction, 5(3), 263-284. | spa |
| dcterms.bibliographicCitation | Informe de Operación del Sistema Interconectado Nacional (SIN). (2017), Demanda de Energía Nacional. Available from: http://www.informesanuales.xm.com.co/2017/SitePages/operacion/4-1-Demanda-de-energia-nacional.aspx. | spa |
| dcterms.bibliographicCitation | Kaytez, F., Taplamacioglu, M.C., Cam, E., Hardalac, F. (2015), Forecasting electricity consumption: A comparison of regression analysis, neural networks and least squares support vector machines. International Journal of Electrical Power and Energy Systems, 67, 431-438. | spa |
| dcterms.bibliographicCitation | Montgomery, D., Peck, E.A., Vining, G. (2012), Introduction to Linear Regression Analysis. Vol. 821. New Jersey: John Wiley and Sons. | spa |
| dcterms.bibliographicCitation | Nejat, P., Jomehzadeh, F., Taheri, M.M., Gohari, M., Majid, M.Z.A. (2015), A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2emitting countries). Renewable and Sustainable Energy Reviews, 43, 843-862. | spa |
| dcterms.bibliographicCitation | Ñustes, W., Riviera, S. (2017), Colombia: territorio de inversión en fuentes no convencionales de energía renovable para la generación eléctrica. Revista Ingeniería, Investigación y Desarrollo, 17, 37-48. | spa |
| dcterms.bibliographicCitation | Palma, H.H. (2017), Direccionamiento estratégico para la dinamización del sector salud en el departamento del Atlántico. BIOCIENCIAS, 12(1), 79-84. | spa |
| dcterms.bibliographicCitation | Pukšec, T., Mathiesen, B.V., Novosel, T., Duić, N. (2014), Assessing the impact of energy saving measures on the future energy demand and related GHG (greenhouse gas) emission reduction of Croatia. Energy, 76, 198-209. | spa |
| dcterms.bibliographicCitation | ánchez-Villegas, A. (2014), In: Martínez-González, M.A., Faulín, F.J., editors. Bioestadística Amigable. Barcelona: Elsevier. | spa |
| dcterms.bibliographicCitation | Stephanidis, C. editor. (2018), HCI International 2018 Posters’ Extended Abstracts: 20th International Conference. Vol. 852. HCI International 2018, Las Vegas, NV, USA, Proceedings. Springer. | spa |
| dcterms.bibliographicCitation | Unidad de Planeación Minera y Energética (UPME). (2015), Plan Energetico Nacional Colombia: Ideario Energético 2050. Available from: http://www1.upme.gov.co/Documents/PEN_IdearioEnergetico2050.pdf. | spa |
| datacite.rights | http://purl.org/coar/access_right/c_abf2 | spa |
| oaire.resourcetype | http://purl.org/coar/resource_type/c_6501 | spa |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | spa |
| dc.audience | Público general | spa |
| dc.identifier.doi | 10.32479/ijeep.7813 | |
| dc.identifier.instname | Universidad del Atlántico | spa |
| dc.identifier.reponame | Repositorio Universidad del Atlántico | spa |
| dc.rights.cc | Attribution-NonCommercial 4.0 International | * |
| dc.subject.keywords | Energy Consumption, Electric Demand, Multiple Linear Regression Model | spa |
| dc.type.driver | info:eu-repo/semantics/article | spa |
| dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | spa |
| dc.type.spa | Artículo | spa |
| dc.publisher.place | Barranquilla | spa |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | spa |
| dc.publisher.sede | Sede Norte | spa |
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