Please use this identifier to cite or link to this item: http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/558
Title: A Review of Forecasting Techniques
Authors: Ghazali, Mohamad
Amsa, Ameer
Aibinu, A. M.
Salami, Momoh-Jimoh E.
Balogun, Wasiu
Keywords: Forecasting
Prediction
Feature selection
Modeling
Performance evaluation
Issue Date: 2012
Publisher: The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp)
Citation: bin Ameer Amsa, M. G., Aibinu, A. M., Salami, M. J. E., & Balogun, W. (2012). A Review of Forecasting Techniques. In Proceedings on the International Conference on Artificial Intelligence (ICAI) (p. 1). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp).
Abstract: This work examines recent publications in forecasting in various fields, these include: wind power forecasting; electricity load forecasting; crude oil price forecasting; gold price forecasting energy price forecasting etc. In this review, categorization of the processes involve in forecasting are divided into four major steps namely: input features selection; data pre-processing; forecast model development and performance evaluation. The various methods involve are discussed in order to provide the overall view about possible options for development of forecasting system. It is intended that the classification of the steps into small categories with definitions of terms and discussion of evolving techniques will provide guidance for future forecasting sytem designers.
URI: http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/558
Appears in Collections:Research Articles

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