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How to forecast with Neural Network?

Goryn asked: 2021-07-29 neural network , prediction , forecasting , ok

Learn how to forecast with neural networks using MATLAB! This resource provides a comprehensive guide, examples, and expert tips for time series forecasting. St

Expert Answer

Kshitij Singh answered . 2025-07-29 20:37:29

0. Incorrect use of the word 'lag'

1. It is rare that the default input parameters (ID,FD,H) are sufficient. They can be improved by using a subset of significant lags determined from the auto and cross-correlation functions and then searching over a range of H values. The smallest acceptable value of H should be used.

2. The default 'dividerand' should be overwritten (e.g., 'divideblock') to optimize the effectiveness of the significant correlation lags found in 1.

3. Train using the syntax

 [net tr Ys Es Xf Af ] = train(net,Xs,Ts,Xi,Ai);

to use Xf and Af as intial conditions for continuation data

4. After closing the loop, test the CL net on the original data. If performance is not good compared to the OL performance, train the CL net beginning with the weights obtained with the OL training.

5. Since you only have 1 series, you should have used NARNET. To continue beyond the original data

Xnew = net(NaN(1,100),Xf,Af);

Here is the example

Electricity Load Forecasting in MATLAB

The electricity power consumption is a non-linear process. Artificial Neural Networks have the capability to predict future data based on the data fed for training as it can recognize the pattern in it. This will in turn enable us to maintain a good power management..

https://www.matlabsolutions.com/matlab-projects/electricity-load-forecasting-using-neural-network-in-matlab.php

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