Forecasting Building Electric Consumption Patterns Through Statistical Methods

Xavier Serrano-Guerrero, Luis Fernando Siavichay, Jean Michel Clairand, Guillermo Escrivá-Escrivá

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations
Original languageEnglish
Title of host publicationAdvances in Emerging Trends and Technologies - Volume 2
EditorsMiguel Botto-Tobar, Joffre León-Acurio, Angela Díaz Cadena, Práxedes Montiel Díaz
PublisherSpringer
Pages164-175
Number of pages12
ISBN (Print)9783030320324
DOIs
StatePublished - 1 Jan 2020
Event1st International Conference on Advances in Emerging Trends and Technologies, ICAETT 2019 - quito, Ecuador
Duration: 29 May 201931 May 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1067
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference1st International Conference on Advances in Emerging Trends and Technologies, ICAETT 2019
CountryEcuador
Cityquito
Period29/05/1931/05/19

Keywords

  • ARIMA
  • Electric demand
  • Forecast
  • Load Uncertainties
  • Statistical methods
  • Winter

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  • Cite this

    Serrano-Guerrero, X., Siavichay, L. F., Clairand, J. M., & Escrivá-Escrivá, G. (2020). Forecasting Building Electric Consumption Patterns Through Statistical Methods. In M. Botto-Tobar, J. León-Acurio, A. Díaz Cadena, & P. Montiel Díaz (Eds.), Advances in Emerging Trends and Technologies - Volume 2 (pp. 164-175). (Advances in Intelligent Systems and Computing; Vol. 1067). Springer. https://doi.org/10.1007/978-3-030-32033-1_16