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Shijin Yuan, Cheng Wang, Bin Mu, Feifan Zhou and Wansuo Duan
A typhoon is an extreme weather event with strong destructive force, which can bring huge losses of life and economic damage to people. Thus, it is meaningful to reduce the prediction errors of typhoon intensity forecasting. Artificial and deep neural ne...
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V. I. Senko,Ye. P. Hurskyi
Pág. 89 - 94
Performing the increasing amount of transportations under guaranteed safety of the train traffic is the most important priority for Belorussian railway. To do so, it is necessary to provide the transportation process with a modern, reliable rolling stock...
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Abas Omar Mohamed
The study investigated the empirical role of past values of Somalia?s GDP growth rates in its future realizations. Using the Box?Jenkins modeling method, the study utilized 250 in-sample quarterly time series data to forecast out-of-the-sample Somali GDP...
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Ulrich Gunter
The present study employs daily data made available by the STR SHARE Center covering the period from 1 January 2010 to 31 January 2020 for six Viennese hotel classes and their total. The forecast variable of interest is hotel room demand. As forecast mod...
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Manuel Lopez-Martin, Antonio Sanchez-Esguevillas, Luis Hernandez-Callejo, Juan Ignacio Arribas and Belen Carro
This work brings together and applies a large representation of the most novel forecasting techniques, with origins and applications in other fields, to the short-term electric load forecasting problem. We present a comparison study between different cla...
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Omid Faseli
Pág. 80 - 87
Abnormal volatility has a damaging effect on the macroeconomy and is seen as a measure of risk in asset and commodity markets. This investigation had the aim to analyze the supposed transatlantic volatility inducing effect of the most prominent scheduled...
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Rahul Agrahari, Matthew Nicholson, Clare Conran, Haytham Assem and John D. Kelleher
In this paper, we compare and assess the efficacy of a number of time-series instance feature representations for anomaly detection. To assess whether there are statistically significant differences between different feature representations for anomaly d...
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Faheem Aslam, Paulo Ferreira, Khurrum Shahzad Mughal and Beenish Bashir
During crises, stock market volatility generally rises sharply, and as consequence, spillovers are identified across markets. This study estimates the volatility spillover among twelve European stock markets representing all four regions of Europe. The d...
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Daojun Chen, Qingwu Gong, Bichang Zou, Xiaohui Zhang and Jian Zhao
This paper introduces the ?Energy-Environmental Efficiency? concept of building a low-carbon dispatch model of wind-incorporated power systems from the perspective of environmental protection and low-carbon dispatch promotion based on the existing econom...
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Jingyun Zhang, Lingyu Xu and Baogang Jin
The multi-model ensemble (MME) forecast for meteorological elements has been proved many times to be more skillful than the single model. It improves the forecast quality by integrating multiple sets of numerical forecast results with different spatial-t...
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Guanwen Zhang and Dongnian Jiang
Rolling bearings are one of the most important and indispensable components of a mechanical system, and an accurate prediction of their remaining life is essential to ensuring the reliable operation of a mechanical system. In order to effectively utilize...
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