Combining Neural Networks and ARIMA Models for Hourly Temperature Forecast

I
IJCNN
2000
IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4
Abstract - Combining Neural Networks and ARIMA Models for Hourly Temperature Forecast

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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4

Como, Italy

July 24-July 27

ISBN: 0-7695-0619-4

	ASCII Text	x
	Henrique S. Hippert, Carlos E. Pedreira, Reinaldo C. Souza, "Combining Neural Networks and ARIMA Models for Hourly Temperature Forecast," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 4, pp. 4414, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4, 2000.

	BibTex	x
	@article{ 10.1109/IJCNN.2000.860807, author = {Henrique S. Hippert and Carlos E. Pedreira and Reinaldo C. Souza}, title = {Combining Neural Networks and ARIMA Models for Hourly Temperature Forecast}, journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on}, volume = {4}, year = {2000}, issn = {1098-7576}, pages = {4414}, doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.860807}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on TI - Combining Neural Networks and ARIMA Models for Hourly Temperature Forecast SN - 1098-7576 SP EP A1 - Henrique S. Hippert, A1 - Carlos E. Pedreira, A1 - Reinaldo C. Souza, PY - 2000 VL - 4 JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on ER -

Henrique S. Hippert, Federal University of Juiz de Fora

Carlos E. Pedreira, Catholic University of Rio de Janeiro

Reinaldo C. Souza, Catholic University of Rio de Janeiro

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.860807

This paper proposes a hybrid forecasting system that combines linear models and multilayer neural networks to forecast hourly temperatures with basis on the past observed temperatures and the maximum and minimum forecast temperatures supplied by the weather service. First, a simple autoregressive model is built for the temperature series. Numerical results, using real data are reported.

Citation:

Henrique S. Hippert, Carlos E. Pedreira, Reinaldo C. Souza, "Combining Neural Networks and ARIMA Models for Hourly Temperature Forecast," ijcnn, vol. 4, pp.4414, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4, 2000

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