A Prediction Method of Power Energy Saving Potential Based on Rough Set Neural Network

Abstract:

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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 et al., "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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Price:

$35.00

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