eduzhai > Applied Sciences > Computer Science >

Prediction of Solar Radiation Using Data Clustering and Time-Delay Neural Network

  • carsar
  • (0) Download
  • 20210407
  • Save

... pages left unread,continue reading

Document pages: 7 pages

Abstract: In this paper, a combination of data clustering and artificial intelligence techniques are used to predict incoming solar radiation on a daily basis. The data clustering technique known as Perceptually Important Points is proposed, where time-series data is grouped into clusters separated by key characteristic points, which are later used as training data for an artificial neural network. The type of network used is known as a Focused Time-Delay Neural Network, and an analysis of the data is performed using the Mean Absolute Percentage Error scheme.

Please select stars to rate!

         

0 comments Sign in to leave a comment.

    Data loading, please wait...
×