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  • 标题:ELECTRICITY MARKET PRICE FORECASTING BY GRID COMPUTING OPTIMIZING ARTIFICIAL NEURAL NETWORKS
  • 本地全文:下载
  • 作者:T. Niimura ; K. Ozawa ; N Sakamoto
  • 期刊名称:European Journal of Management Studies
  • 出版年度:2007
  • 卷号:12
  • 期号:2
  • 页码:133-143
  • 语种:English
  • 出版社:International Medical Journal Management and Indexing System
  • 摘要:This paper presents a grid computing approach to parallel-process a neural network time-series model for forecasting electritity market prices. A grid computing environment introduced in a university computing laboratory provides access to otherwise underused computing resources. The grid computingof the neural network model not only processes several times faster than a single iterative process, but also provides chances of improving forecasting accuracy. Results of numerical tests using real market data on twenty grid-connected PCs are reported.
  • 关键词:Grid computing; electricity market; prices; forecasting; neural networks.
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