Paper Title:
A Prediction Method of Power Energy Saving Potential Based on Rough Set Neural Network
  Abstract

Power industry is the key field of implementing energy saving and pollutant emission reduction in china, strengthen power energy saving is helpful to establish a resource-saving and environment-friendly society and promote a sustainable development of economic society. This paper synchronizes respective advantages of rough set and neural network, puts forward a prediction model-RSBPNN which uses rough set knowledge reduction method to prune the redundant and neural network to build a forecasting model.

  Info
Periodical
Edited by
Ran Chen
Pages
3795-3799
DOI
10.4028/www.scientific.net/AMM.44-47.3795
Citation
J. Y. Li, Y. J. Wei, J. C. Li, Y. Z. Zhao, "A Prediction Method of Power Energy Saving Potential Based on Rough Set Neural Network", Applied Mechanics and Materials, Vols. 44-47, pp. 3795-3799, 2011
Online since
December 2010
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