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Thabang Mathonsi and Terence L. van Zyl
Hybrid methods have been shown to outperform pure statistical and pure deep learning methods at forecasting tasks and quantifying the associated uncertainty with those forecasts (prediction intervals). One example is Exponential Smoothing Recurrent Neura...
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Christina M. Botai, Joel O. Botai, Abiodun M. Adeola, Jaco P. de Wit, Katlego P. Ncongwane and Nosipho N. Zwane
This research study was carried out to investigate the characteristics of drought based on the joint distribution of two dependent variables, the duration and severity, in the Eastern Cape Province, South Africa. The drought variables were computed from ...
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Waqas Rafique, Jonathon Chambers and Ali Imam Sunny
The performance of the independent vector analysis (IVA) algorithm depends on the choice of the source prior to better model the speech signals as it employs a multivariate source prior to retain the dependency between frequency bins of each source. Iden...
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Tamara Rosemary Govindasamy, Naven Chetty
South Africa continues to lag globally in the adoption of renewable energy systems despite a notable decrease in the cost of applicable renewable energy technologies over the past five years. Most applications of potential solar renewable energy systems ...
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Allister Loder, Kay Werner Axhausen
In much of Switzerland, public transport offers high levels of accessibility to workplaces and other places that make season tickets legitimate substitutes for a car. These similar patterns of accessibility provided by both modes result in high levels of...
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Bastian Klein, Dennis Meissner, Hans-Ulrich Kobialka and Paolo Reggiani
Predictive uncertainty (PU) is defined as the probability of occurrence of an observed variable of interest, conditional on all available information. In this context, hydrological model predictions and forecasts are considered to be accessible but yet u...
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Kaijian He, Kin Keung Lai and Guocheng Xiang
In the increasingly globalized economy these days, the major crude oil markets worldwide are seeing higher level of integration, which results in higher level of dependency and transmission of risks among different markets. Thus the risk of the typical m...
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L. MALEC,F. SKÁCEL,T. FOUSEK,V. TEKÁC,P. KRÁL
Tropospheric ozone is a secondary air pollutant, changes in the ambient content of which are affected by both, the emission rates of primary pollutants and the variability of meteorological conditions. In this paper, we use two multivariate statistic...
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