A Review of Forecasting Techniques

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dc.contributor.authorGhazali, Mohamad
dc.contributor.authorAmsa, Ameer
dc.contributor.authorAibinu, A. M.
dc.contributor.authorSalami, Momoh-Jimoh E.
dc.contributor.authorBalogun, Wasiu
dc.date.accessioned2019-10-16T14:02:45Z
dc.date.available2019-10-16T14:02:45Z
dc.date.issued2012
dc.description.abstractThis 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.en_US
dc.identifier.citationbin 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).en_US
dc.identifier.urihttp://repository.elizadeuniversity.edu.ng/handle/20.500.12398/558
dc.language.isoenen_US
dc.publisherThe Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp)en_US
dc.subjectForecastingen_US
dc.subjectPredictionen_US
dc.subjectFeature selectionen_US
dc.subjectModelingen_US
dc.subjectPerformance evaluationen_US
dc.titleA Review of Forecasting Techniquesen_US
dc.typeArticleen_US
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