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Shurui Fan, Dongxia Hao, Yu Feng, Kewen Xia and Wenbiao Yang
Accurate and reliable air quality predictions are critical to the ecological environment and public health. For the traditional model fails to make full use of the high and low frequency information obtained after wavelet decomposition, which easily lead...
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Amos O. Anele, Yskandar Hamam, Adnan M. Abu-Mahfouz and Ezio Todini
The stochastic nature of water consumption patterns during the day and week varies. Therefore, to continually provide water to consumers with appropriate quality, quantity and pressure, water utilities require accurate and appropriate short-term water de...
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Amos O. Anele, Ezio Todini, Yskandar Hamam and Adnan M. Abu-Mahfouz
In a previous paper, a number of potential models for short-term water demand (STWD) prediction have been analysed to find the ones with the best fit. The results obtained in Anele et al. (2017) showed that hybrid models may be considered as the accurate...
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Asha Jayasree, Santhosh Kumar Sasidharan, Rishidas Sivadas and Jayan A. Ramakrishnan
Rainfall forecasting is critical for the economy, but it has proven difficult due to the uncertainties, complexities, and interdependencies that exist in climatic systems. An efficient rainfall forecasting model will be beneficial in implementing suitabl...
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Jun Wang, Zhongmin Liang, Xiaolei Jiang, Binquan Li and Li Chen
Real-time correction models provide the possibility to reduce uncertainties in flood prediction. However, most traditional techniques cannot accurately capture many sources of uncertainty and provide a quantitative evaluation. To account for a wide varie...
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José-Luis Molina, Santiago Zazo, Pablo Rodríguez-Gonzálvez, Diego González-Aguilera
Pág. 1 - 21
Hydrological series are largely characterized by a strong random component in their behavior. More noticeable changes in the behavior patterns of rainfall/runoff temporal series are recently being observed. These modifications are not a trivial issue, es...
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José-Luis Molina, Santiago Zazo, Pablo Rodríguez-Gonzálvez and Diego González-Aguilera
Hydrological series are largely characterized by a strong random component in their behavior. More noticeable changes in the behavior patterns of rainfall/runoff temporal series are recently being observed. These modifications are not a trivial issue, es...
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Jun Wang, Zhongmin Liang, Xiaolei Jiang, Binquan Li, Li Chen
Pág. 1 - 16
Real-time correction models provide the possibility to reduce uncertainties in flood prediction. However, most traditional techniques cannot accurately capture many sources of uncertainty and provide a quantitative evaluation. To account for a wide varie...
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VIDAL L. MATEOS,JOSÉ A. GARCÍA,ANTONIO SERRANO,MARÍA DE LA CRUZ GALLEGO
In order to improve the results given by Autoregressive Moving-Average (ARMA) modeling for the monthly accumulated rainfall series taken at 19 observatories of the Iberian Peninsula, a Discrete Linear Transfer Function Noise (DLTFN) model was appli...
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Brahim Belmahdi, Mohamed Louzazni, Mousa Marzband and Abdelmajid El Bouardi
The adequate modeling and estimation of solar radiation plays a vital role in designing solar energy applications. In fact, unnecessary environmental changes result in several problems with the components of solar photovoltaic and affects the energy gene...
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Ismail Shah, Hasnain Iftikhar and Sajid Ali
The increasing shortage of electricity in Pakistan disturbs almost all sectors of its economy. As, for accurate policy formulation, precise and efficient forecasts of electricity consumption are vital, this paper implements a forecasting procedure based ...
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