Long Term Energy Forecasting with Econometrics in MATLAB
Actualizado 1 Sep 2016
View this example as a Recorded Webinar at:
Since 2008 energy demand in Australia has started to decline. The result, traditional regression based models that were being used to forecast long term energy load were now highly inaccurate in their predictions. Energy demand has since continued to fall, however will it increase again? If so, how can this be predicted? A dynamic model to forecast long term energy demand is needed.
In this example, we’ll demonstrate how using econometrics techniques, you can create a dynamic, self-tuning model for predicting long term energy load. We will look at building ARIMA/GARCH and Vector Autoregressive (VARX) forecasting models based of historical energy and economic data sets.
David Willingham (2023). Long Term Energy Forecasting with Econometrics in MATLAB (https://www.mathworks.com/matlabcentral/fileexchange/49279-long-term-energy-forecasting-with-econometrics-in-matlab), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformasWindows macOS Linux
- Industries > Energy Production > Energy Trading >
- Computational Finance > Econometrics Toolbox > Conditional Variance Models >
- Computational Finance > Econometrics Toolbox > Multivariate Models >
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!Start Hunting!
Descubra Live Editor
Cree scripts con código, salida y texto formateado en un documento ejecutable.
|Versión||Publicado||Notas de la versión|
updating required products
Updated the Webinar Link in the description, and fix typos
Added MathWorks copyright to every MATLAB file.