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dc.contributor.authorContreras Salinas, Jheison
dc.contributor.otherLópez, Fernando
dc.contributor.otherRondon Rodriguez, Carlos Andres
dc.contributor.otherHernández palma, Hugo g
dc.contributor.otherDe-la-Hoz-Hernández, Juan-David
dc.date.accessioned2022-11-15T19:28:59Z
dc.date.available2022-11-15T19:28:59Z
dc.date.issued2020-06-08
dc.date.submitted2019-06-06
dc.identifier.urihttps://hdl.handle.net/20.500.12834/819
dc.description.abstractEnergy production is constantly facing major challenges today, because despite initiatives to promote the insertion of renewable energy, electricity consumption has shown considerable growth in recent years. In order to use an instrument that facilitates forecasts and predictive processes for the design of strategic plans associated with energy management, the application of the Holt Method is proposed using data on electricity demand in Colombia, GDP per capita and industrial value added, making an analysis of the last 10 years, based on figures from the World Bank. The final results predict that energy consumption for the period 2018-2020 will be between 66,231 GWk and 66,885 GWk.spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.sourceEconjournalsspa
dc.titleAnalysis of Energy Consumption in Colombia Using the Holt Methodspa
dcterms.bibliographicCitationBarassi, M.R., Yuqian, Z. (2017), Combination Forecasting of Energy Demand in the UK. Available from: https://www.ssrn.com/ abstract=2907296.spa
dcterms.bibliographicCitationContreras, D. (2016), El impacto de El Niño en Colombia. Revista Fasecolda, 163, 42-46.spa
dcterms.bibliographicCitationDelgadillo-Ruiz, O., Ramírez-Moreno, P.P., Leos-Rodríguez, J.A., Salas González, J.M., Valdez-Cepeda, R.D. (2016), Pronósticos y series de tiempo de rendimientos de granos básicos en México. Acta Universitaria, 26(3), 23-32.spa
dcterms.bibliographicCitationFarhani, S., Ozturk, I. (2015), Causal relationship between CO2 emissions, real GDP, energy consumption, financial development, trade openness, and urbanization in Tunisia. Environmental Science and Pollution Research, 22(20), 15663-15676.spa
dcterms.bibliographicCitationGhalehkhondabi, I., Ardjmand, E., Weckman, G.R., Young, W.A. (2017), An overview of energy demand forecasting methods published in 2005-2015. Energy Systems, 8(2), 411-447.spa
dcterms.bibliographicCitationHaiges, R., Wang, Y.D., Ghoshray, A., Roskilly, A.P. (2017), Forecasting electricity generation capacity in Malaysia: An auto regressive integrated moving average approach. Energy Procedia, 105, 3471- 3478.spa
dcterms.bibliographicCitationHu, Y., Guo, D., Wang, M., Zhang, X., Wang, S. (2015), The relationship between energy consumption and economic growth: Evidence from china’s industrial sectors. Energies, 8(9), 9392-9406.spa
dcterms.bibliographicCitationHyndman, R.J., Athanasopoulos, G. (2018), Forecasting: Principles and Practice. Melbourne, Australia: Monash University.spa
dcterms.bibliographicCitationJalil, N.A.A., Ahmad, M.H., Mohamed, N. (2013), Electricity load demand forecasting using exponential smoothing methods. World Applied Sciences Journal, 22(11), 1540-1543.spa
dcterms.bibliographicCitationLesaca, J.M.L., Guerrero, E.Z., Ubis, F.E., Bernardo, J.A. (2014), Memetic Algorithms in Operational Research Problems. Revista de Dirección y Administración de Empresas, 1(18), 1-19.spa
dcterms.bibliographicCitationMartínez, R., Zambrano, E., Nieto, J.J., Hernández, J., Costa, F. (2017), Evolución, vulnerabilidad e impactos económicos y sociales de El Niño 2015-2016 en América Latina. Investigaciones Geográficas, 68, 65-78.spa
dcterms.bibliographicCitationMojica, D.J.D., Domínguez, A.B., Acosta, L.R., Montenegro, M.F., Palma, H.H., Cardona, S.A. (2015), Administrative function in the era of ICTs. Revista Lasallista de Investigación, 12(2), 139-151.spa
dcterms.bibliographicCitationSalcedo, D., Melo, L., Parra, D. (2016), Impactos de los fenómenos climáticos sobre el precio de los alimentos en Colombia. Ensayos Sobre Política Económica, 1, (34).spa
dcterms.bibliographicCitationSant’Ana, P.H.M., Nebra, S., Simão, N.M., Dalmo, F.C. (2017), Energetic recovery of municipal solid waste scenario in São Paulo State, Brazil. In: WASTES-Solutions, Treatments and Opportunities. 2nd ed. Boca Raton, Florida: CRC Press. p1-7.spa
dcterms.bibliographicCitationStephanidis, C., editor. (2018), HCI International 2018-Posters’ Extended Abstracts: 20th International Conference, HCI International 2018. Vol. 852. Las Vegas, NV, USA: Springer.spa
dcterms.bibliographicCitationTovio, A.C., Alfaro, A.C. (2016), Análisis del comportamiento de las variables que determinan el circuito económico en Colombia. Aglala, 7(1), 94-121.spa
dcterms.bibliographicCitationTratar, L.F., Strmčnik, E. (2016), The comparison of Holt-Winters method and multiple regression method: A case study. Energy, 109, 266-276.spa
dcterms.bibliographicCitationÜnal, Y.Z., Al-Turki, U.M., Zaim, S., Demirel, Ö.F., Görener, R. (2015), Developing Spreadsheet Models of Holt-Winter Methods and Solving with Microsoft Excel Solver and Differential Evaluation Technique: An Application to Tourism Sector. In: Industrial Engineering and Operations Management, 2015 International Conference. p1-8.spa
dcterms.bibliographicCitationVillada, F., Cadavid, D.R., Molina, J.D. (2014), Pronóstico del precio de la energía eléctrica usando redes neuronales artificiales. Revista Facultad de Ingeniería, 44, 111-118.spa
datacite.rightshttp://purl.org/coar/access_right/c_abf2spa
oaire.resourcetypehttp://purl.org/coar/resource_type/c_6501spa
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.audiencePúblico generalspa
dc.identifier.doi10.32479/ijeep.8221
dc.identifier.instnameUniversidad del Atlánticospa
dc.identifier.reponameRepositorio Universidad del Atlánticospa
dc.rights.ccAttribution-NonCommercial 4.0 International*
dc.subject.keywordsEnergy Consumption, Holt Method, Energy Efficiency, Colombiaspa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionspa
dc.type.spaArtículospa
dc.publisher.placeBarranquillaspa
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessspa
dc.publisher.sedeSede Nortespa


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