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Xianchang Wang, Siyu Dong and Rui Zhang
In the prediction of time series, Empirical Mode Decomposition (EMD) generates subsequences and separates short-term tendencies from long-term ones. However, a single prediction model, including attention mechanism, has varying effects on each subsequenc...
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Yingjie Du and Ning Ding
Crime is always one of the most important social problems, and it poses a great threat to public security and people. Accurate crime prediction can help the government, police, and citizens to carry out effective crime prevention measures. In this paper,...
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Lifang Peng, Kefu Chen and Ning Li
Stock movement prediction is important in the financial world because investors want to observe trends in stock prices before making investment decisions. However, given the non-linear non-stationary financial time series characteristics of stock prices,...
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Maha Alanbar,Amal Alfarraj,Manal Alghieth
Pág. pp. 166 - 177
In the present era, due to technological advances, the problem of energy consumption has become one of the most important problems for its environmental and economic impact. Educational buildings are one of the highest energy consuming institutions. Ther...
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Namrye Son, Seunghak Yang and Jeongseung Na
Forecasting domestic and foreign power demand is crucial for planning the operation and expansion of facilities. Power demand patterns are very complex owing to energy market deregulation. Therefore, developing an appropriate power forecasting model for ...
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Ricardo Aguasca-Colomo, Dagoberto Castellanos-Nieves and Máximo Méndez
We present a comparative study between predictive monthly rainfall models for islands of complex orography using machine learning techniques. The models have been developed for the island of Tenerife (Canary Islands). Weather forecasting is influenced bo...
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Eduar Jamis Mejía Vásquez,Salome Gonzales Chávez
Pág. 181 - 191
El objetivo de este trabajo es predecir el consumo de energía eléctrica residencial de la Región Cajamarca mediante modelos Holt-Winters. Este procedimiento de modelización predictiva es útil para la predicción a corto y mediano plazo de ventas de energí...
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Huating Xu, Zhiyong Wu, Lifeng Luo and Hai He
Accurate and timely precipitation forecasts are a key factor for improving hydrological forecasts. Therefore, it is fundamental to evaluate the skill of Numerical Weather Prediction (NWP) for precipitation forecasting. In this study, the Global Environme...
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