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http://dspace.uniten.edu.my/jspui/handle/123456789/6838
Title: | Electricity market forecasting using artificial neural network models optimized by grid computing | Authors: | Mohd Isa, A. Niimura, T. Sakamoto, N. Ozawa, K. Yokoyama, R. |
Issue Date: | 2009 | Abstract: | This paper reports a grid computing approach to parallel-process a neural network time-series model for forecasting electricity market prices. The grid computing of the neural network model not only processes several times faster than a single iterative process but also provides chances of improving forecasting accuracy. A grid-computing environment implemented in a university computing laboratory improves utilization rate of otherwise underused computing resources. Results of numerical tests using the real market data by more than twenty grid-connected PCs are presented. | URI: | http://dspace.uniten.edu.my/jspui/handle/123456789/6838 |
Appears in Collections: | COE Scholarly Publication |
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