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Weekly urban water demand forecasting using a hybrid waveletbootstrap-artificial neural network approach

100%

Adamowski K., Adamowski J. F., Seidou O., Ozga-Zielinski B.

Annals of Warsaw University of Life Sciences - SGGW. Land Reclamation

2014

tom 46

nr 3

This study developed a hybrid wavelet–bootstrapartifi cial neural network (WBANN) model for weekly (one week) urban water demand forecasting in situations with limited data availability. The proposed WBANN method is aimed at improving the accuracy and reliability of water demand forecasting. Daily maximum temperature, total precipitation and water demand data for almost three years were used in this study. It was concluded that the hybrid WBANN model was more accurate compared to the ANN, BANN and WANN methods, and can be applied successfully for operational water demand forecasting. The WBANN model simulated peak water demand very effectively. The better performance of the WBANN model indicated that wavelet analysis signifi cantly improved the model’s performance, whereas the bootstrap technique improved the reliability of forecasts by producing ensemble forecasts. The WBANN model was also found to be effective in assessing the uncertainty associated with water demand forecasts in terms of confi dence bands; this can be helpful in operational water demand forecasting.

Wavelet analysis of voluntary cough sound in patients with respiratory diseases

72%

Knocikova J., Korpas J., Vrabec M., Javorka M.

Journal of Physiology and Pharmacology. Supplement

2008

tom 59

nr 6

331-340

Method for identification the recording device of digital images

72%

Sidorov N., Byelozorov E.

Teka Komisji Motoryzacji i Energetyki Rolnictwa

2014

tom 14

nr 2

Ograniczanie wyników

1 Annals of Warsaw University of Life Sciences - SGGW. Land Reclamation

1 Journal of Physiology and Pharmacology. Supplement

1 Teka Komisji Motoryzacji i Energetyki Rolnictwa

1 Adamowski J. F.

1 Adamowski K.

1 Byelozorov E.

1 Javorka M.

1 Knocikova J.

1 Korpas J.

1 Ozga-Zielinski B.

1 Seidou O.

1 Sidorov N.

1 Vrabec M.

2 2014

1 2008

Wyniki wyszukiwania

Weekly urban water demand forecasting using a hybrid waveletbootstrap-artificial neural network approach

Wavelet analysis of voluntary cough sound in patients with respiratory diseases

Method for identification the recording device of digital images