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Jack

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04 Sep 2011 Electricity Load and Price Forecasting Webinar Case Study Slides and MATLABĀ® code for the day-ahead system load and price forecasting case study. Author: Ameya Deoras

The problem with this example it is that Ameya doesn't show how to make a multi step prediction.

This should have been it the example because the title is FORECASTING.

I see a lot or questions everywhere on the web about multi step ahead prediction.

Everyone know how to load datas. I means it's almost like opening an Excel file. But to make a prediction is very difficult.

I've a NARX neural network with 10 hidden neurons and 2 delays. As input I have a 510x5 (called Inputx) and as output I have a 510x1 (called Target).

I want to forecast 10 days ahead but it's really not working...

I tried the following code but I'm stuck now. :-(

Would you mind to help me ? Some code will be awesome. :-(

***////////////////////////////////////////////******** ***/////////////////////////////////////////// ******

inputSeries = tonndata(Inputx,false,false);

targetSeries = tonndata(Target,false,false);

netc = closeloop(net);

netc.name = [net.name ' - Closed Loop'];

[xc,xic,aic,tc] = preparets(netc,inputSeries,{},targetSeries);

yc = netc(xc,xic,aic);

***////////////////////////////////////////////******** ***/////////////////////////////////////////// ******

04 Sep 2011 Electricity Load and Price Forecasting Webinar Case Study Slides and MATLABĀ® code for the day-ahead system load and price forecasting case study. Author: Ameya Deoras

How do we make a prediction with the Matlab generated script above ?

The example should have shown that ... really !!!

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