• Login
    View Item 
    •   AXCES Home
    • Proceedings
    • 2021 LACCEI - Virtual Edition
    • View Item
    •   AXCES Home
    • Proceedings
    • 2021 LACCEI - Virtual Edition
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Long and Short Term Energy Demand Forecasting using XGBoost Models

    Thumbnail
    View/Open
    FP219.pdf (980.3Kb)
    Date
    2021-07
    Author
    Robles, Jose
    Sotelo-Valer, Freedy
    Nahui-Ortiz, Johnny
    Lopez-Cordova, Jorge
    Metadata
    Show full item record
    Abstract
    As part of the technical studies in energy demand required by regulatory entities in Peru, this paper proposes the use of XGBoost Linear and Decision Trees models based on econometric long and short term variables for energy demand forecast. Considering that data of energy demand per year is only available since 1980, resulting in a small dataset, Leave-One-Out Cross Validation method was used in order to measure the performance of the models with unseen data. After training all models, in terms of econometrics, models based on long term variables shows to be more robust than models with short term ones. In addition, Decision Trees shows a better performance than Linear Models with a noticeable difference in the coefficient of determination for both training and test data.
    URI
    http://dx.doi.org/10.18687/LACCEI2021.1.1.219
    http://axces.info/handle/10.18687/20210101_219
    URI Others
    http://laccei.org/LACCEI2021-VirtualEdition/meta/FP219.html
    Copyright
    https://laccei.org/blog/copyright-laccei-papers/
    Track
    Energy, Water and Sustainable Engineering
    Collections
    • 2021 LACCEI - Virtual Edition

    Support by DSpace software.
    Copyright © 2002-2022 . Powered by LACCEI Inc.
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Support by DSpace software.
    Copyright © 2002-2022 . Powered by LACCEI Inc.
    Contact Us | Send Feedback
    Theme by 
    Atmire NV