Forecasting load demand using artificial neural network (ANN) / Alias Khamis

Khamis, Alias (2002) Forecasting load demand using artificial neural network (ANN) / Alias Khamis. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

Recently, Artificial Neural Network is widely used in intelligent computational technology for data compression, pattern recognition and machine learning. This paper presents the development of artificial neural network (ANN) using Back-propagation to forecast the load demand at Maintenance Building at UiTM Shah Alam campus. The data is taken from the Maintenance Department that has installed remote metering system. The programme was developed using Borland C++ version 5.02.

Metadata

Item Type:	Thesis (Degree)
Creators:	Creators Email / ID Num. Khamis, Alias UNSPECIFIED
Contributors:	Contribution Name Email / ID Num. Thesis advisor Wan Abdullah, Wan Nor Ainin UNSPECIFIED
Divisions:	Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme:	Bachelor of Electrical Engineering (Hons.)
Keywords:	Artificial Neural Network (ANN), Back-propagation algorithm, load forecasting
Date:	2002
URI:	https://ir.uitm.edu.my/id/eprint/84828