Research of the combination forecasting model for load based on artificial neural network

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering

Volumn 22, Issue 7, 2002, Pages 85-89

  Xie, Kai Gui ^a   Li, Chun Yan ^a   Zhou, Jia Qi ^a  

^a CHONGQING UNIVERSITY   (China)

Author keywords

Artificial neural network; Combination forecasting model(CFM); Genetic algorithm; Load forecasting

Indexed keywords

BACKPROPAGATION; ERRORS; GENETIC ALGORITHMS; MULTILAYER NEURAL NETWORKS;

BACKPROPAGATION ALGORITHMS; COMBINATION FORECASTING MODELS;

ELECTRIC LOAD FORECASTING;

EID: 0036657920     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. An application of state estimation to short-term forecasting
2. Identification of stochastic electric load models for physical data
3. Advancement in the application of neural networks for short-term load forecasting
4. Electric load forecasting using an artificial neural networks
5. Research of combination-forecasting calculation methods
6. Non-linear time series modeling and forecasting using the neural network approach
7. Research of short-term load forecasting models of power system
8. Discussing about the method of model-constructing of gray forecasting model
9. Solving the weights of combination forecasting
10. A simple and effective ultra-short term load forecasting method