Paper Title:
A Novel Quantum Neural Network Model with Variable Selection for Short Term Load Forecasting
  Abstract

The paper presents a novel quantum neural network (QNN) model with variable selection for short term load forecasting. In the proposed QNN model, first, the combiniation of maximum conditonal entropy theory and principal component analysis method is used to select main influential factors with maximum correlation degree to power load index, thus getting effective input variables set. Then the quantum neural network forecating model is constructed. The proposed QNN forecastig model is tested for certain province load data. The experiments and the performance with QNN neural network model are given, and the results showed the method could provide a satisfactory improvement of the forecasting accuracy compared with traditional BP network model.

  Info
Periodical
Edited by
Qi Luo
Pages
612-617
DOI
10.4028/www.scientific.net/AMM.20-23.612
Citation
W. Sun, Y. J. He, M. Meng, "A Novel Quantum Neural Network Model with Variable Selection for Short Term Load Forecasting", Applied Mechanics and Materials, Vols. 20-23, pp. 612-617, 2010
Online since
January 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Yu Min Pan, Cheng Yu Huang, Quan Zhu Zhang
Abstract:In order to improve the precision of gas emission forecasting,this paper proposes a new forecasting model based on Particle Swarm...
605
Authors: Hui Zhen Yang, Wen Guang Zhao, Wei Chen, Xu Quan Chen
Chapter 8: System Modeling and Simulation
Abstract:Wavelet Neural Network (WNN) is a new form of neural network combined with the wavelet theory and artificial neural network. The wavelet...
4847
Authors: Yang Xiao, Qiu Liang Zhang, Zhi Hua Zhao, Cheng Shuang Song
Chapter 1: Development and Utilization of Solar Energy
Abstract:Make natural forest birch at Da Qingshan nature reserves in Inner Mongolia as the research object. The data is from the National Second-Class...
16
Authors: Yi Hui Zhang, He Wang, Zhi Jian Hu, Meng Lin Zhang, Xiao Lu Gong, Cheng Xue Zhang
Chapter 3: Development and Utilization of Wind Energy
Abstract:Extreme learning machine (ELM) is a new and effective single-hidden layer feed forward neural network learning algorithm. Extreme learning...
564
Authors: Hai Yan Xie, Xin Zhi Zhang, De Peng Zhao
Chapter 8: Transportation Planning, Construction and Operation Organization
Abstract:In this paper, we use the waterway freight volume and the actual statistical data of completed amount of fixed investment to model the...
1241