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Date: 2013
Language: English
Type: Conference proceedings
Identifier: http://hdl.handle.net/10210/16619
Description: Abstract: In this paper a comparison between two single classifier methods (support vector machine, artificial neural network) and two ensemble methods (bagging, and boosting) is applied to a real-wor ... More
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Date: 2013
Language: English
Type: Conference proceedings
Identifier: http://hdl.handle.net/10210/16857
Description: Abstract: Four machine learning algorithms (artificial neural networks, a naive Bayes' classifier, a support vector machines and decision trees) wwere applied for a single pump station mine to monitor ... More
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Date: 2011
Language: English
Type: Conference proceedings
Identifier: http://hdl.handle.net/10210/16393
Description: Abstract: The critical electricity supply in South Africa has necessitated the implementation of demand-side management (DSM) projects. Load shifting and energy efficiency projects were introduced on ... More
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