Paper Title:
Research on Chaos Feature and Forecasting of Air Conditioning Load
  Abstract

Evolution law on air conditioning load is affected by many factors which are very difficult to be known and gained, that which results in low precision of simulation and forecast. Based on analysis on chaos characteristic of air conditioning load time series, BP neural networks model based on chaos phase space is proposed to forecast air conditioning load through embedding dimension. Considering influence of dynamical factor of air conditioning load as well as difficulty of calculating number of input cell, the model is provided with strong nonlinear mapping capacity, is applied to simulate and forecast air conditioning load, the outcomes is reasonable and higher precision.

  Info
Periodical
Edited by
Honghua Tan
Pages
2205-2210
DOI
10.4028/www.scientific.net/AMM.29-32.2205
Citation
H. Q. Liu, W. H. Feng, "Research on Chaos Feature and Forecasting of Air Conditioning Load", Applied Mechanics and Materials, Vols. 29-32, pp. 2205-2210, 2010
Online since
August 2010
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Price
$32.00
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