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http://hdl.handle.net/123456789/4995
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Title: | Monthly energy consumption forecasting using Wavelet analysis and radial basis function neural network |
Authors: | Frimpong, E. A. Okyere, P. Y. |
Keywords: | Load forecasting artificial neural network radial basis function wavelet transform |
Issue Date: | 2010 |
Publisher: | Journal of Science and Technology |
Citation: | Journal of Science and Technology, Vol. 30, No. 2 (2010), pp 157 - 164 |
Abstract: | Monthly energy forecasts help heavy consumers of electric power to prepare adequate budget to
pay their electricity bills and also draw the attention of management and stakeholders to electricity
consumption levels so that energy efficiency measures are put in place to reduce cost. In this
paper, a wavelet transform and radial basis function neural network based energy forecast
model is developed to predict monthly energy consumption. The model was developed using the
monthly energy consumption of Kwame Nkrumah University of Science and Technology
(KNUST), Kumasi, Ghana for a 9-year period. A mean absolute percentage error of 7.94% was
achieved when the forecast model was tested over a 60-month period. |
Description: | Article published in the Journal of Science and Technology, Vol. 30, No. 2 (2010), pp 157- 164 |
URI: | http://hdl.handle.net/123456789/4995 |
Appears in Collections: | Journal of Science and Technology 2000-
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