Long Term Energy Forecasting with Econometrics in MATLAB

版本 1.5.0.1 (7.2 MB) 作者: David Willingham
Dynamic energy demand forecasting using Econometrics (ARIMA/VAR/GARCH)
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更新时间 2016/9/1

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View this example as a Recorded Webinar at:
http://mathworks.com/videos/long-term-energy-forecasting-with-econometrics-in-matlab-99301.html
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.

引用格式

David Willingham (2024). 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. 检索来源 .

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