MATLAB: Future Load Prediction with Neural Network Time Series Prediction

load prediction

Hello,First of All I would like to explain my project.I have 5 years daily and hourly load data.Also I have another column indicates day type.I need to get next 5 days prediction of load values.When I tried to predict this,i saw that I should use NARX network Time series. So My dataset is like that;
913 days-Hour1,Hour2,....Hour24,Daytype,
and My targetset;
913 days-Hour1.Hour2,...,Hour24
My first Question:May dataset and targetset include different number of days? Second Question:When I run the network,I have 911 days prediction,however I have 913 days.When I searched in answer i saw that the reason is number of delays.How will I solve this problem?
Last Question:After the network is trained ,how i will get next 5 days prediction?I want to write last 5 days load data to get next 5 days load data.Could anyone help me please?I really need this.Thanks for your interests!

Best Answer

load data: What does that mean? load of what?
day type: what does that mean? hot/warm/cold? windy/rainy/snowy? ;
If you have one series use narnet because you do not have an exogeneous input.
Find the statistically significant delays by using the autocorrelation function
Do not use the default dividerand. I recommend either divideblock or divideind
I have covered quite a bit in previous posts. Search the NEWSGROUP and ANSWERS using
 greg narnet
Hope this helps.
Greg
Thank you for formally accepting my answer
Greg
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