Another look at forecast accuracy of neural networks

Author

Brace, Milan Casey ; Bui-Nguyen, Vivian ; Schmidt, Julie

fYear

1993

fDate

1993

Firstpage

389

Lastpage

394

Abstract

This paper compares the ability of six artificial neural networks to predict hourly system load for the Puget Sound Power and Light Company, a major North American electric utility. The neural nets, along with four other types of models, were used to forecast hourly system load for the next day on an hour by hour basis. This was done for the period November 1, 1991 to March 31, 1992.

Keywords

load forecasting; neural nets; power engineering computing; power systems; USA; accuracy; artificial neural networks; electric utility; load forecasting; power engineering computing; power systems; short-term; Artificial neural networks; Economic forecasting; Feedforward neural networks; Load forecasting; Multi-layer neural network; Neural networks; Power system modeling; Predictive models; Recurrent neural networks; Weather forecasting;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks to Power Systems, 1993. ANNPS '93., Proceedings of the Second International Forum on Applications of

Conference_Location

Yokohama, Japan

Print_ISBN

0-7803-1217-1

Type

conf

DOI

10.1109/ANN.1993.264316

Filename

264316

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3509189