Title :
Combining neural networks and ARIMA models for hourly temperature forecast
Author :
Hippert, Henrique S. ; Pedreira, Carlos E. ; Souza, Reinaldo C.
Author_Institution :
Dept. of Stat., Univ. Federal do Juiz de Fora, Brazil
Abstract :
This paper proposes a hybrid forecasting system that combines linear models and multilayer neural networks to forecast hourly temperatures based 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 is reported
Keywords :
autoregressive moving average processes; feedforward neural nets; time series; weather forecasting; ARIMA models; autoregressive model; hourly temperature forecast; learning; multilayer neural networks; time series; weather forecasting; Electricity supply industry; Interpolation; Load forecasting; Multi-layer neural network; Neural networks; Predictive models; Space cooling; Space heating; Temperature; Weather forecasting;
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como
Print_ISBN :
0-7695-0619-4
DOI :
10.1109/IJCNN.2000.860807
