Daily soil temperatures predictions for various climates in United States using data-driven model

As an important indicator of soil characteristics, soil temperature has a great impact on agricultural production, building energy savings and for shallow geothermal applications. Data-driven models have been developed and achieved good accuracy in monthly soil temperatures or daily soil temperature...

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Veröffentlicht in:	Energy (Oxford) 2018-10, Vol.160, p.430-440
Hauptverfasser:	Xing, Lu, Li, Liheng, Gong, Jiakang, Ren, Chen, Liu, Jiangyan, Chen, Huanxin
Format:	Artikel
Sprache:	eng
Schlagworte:	Agricultural production Air temperature Amplitudes Annual variations Aridity Climate Data-driven model Energy conservation Errors Humidity Model accuracy Predictions Relative humidity Root-mean-square errors Soil characteristics Soil temperature Soil temperature prediction Soils Superposition (mathematics) Support vector machines SVM Temperature Temperature effects Undisturbed ground temperature Wind speed
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