Employing long short-term memory and Facebook prophet model in air temperature forecasting

One of information needed in weather forecast is air temperature. This value might change any time. Prediction of air temperature is very valuable for some communities and occasions. Therefore, high accuracy prediction is needed. Since the information about air temperature might vary over time, it i...

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Veröffentlicht in:	Communications in statistics. Simulation and computation Jg. 52; H. 2; S. 279 - 290
Hauptverfasser:	Toharudin, Toni, Pontoh, Resa Septiani, Caraka, Rezzy Eko, Zahroh, Solichatus, Lee, Youngjo, Chen, Rung Ching
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Philadelphia Taylor & Francis 01.02.2023 Taylor & Francis Ltd
Schlagworte:	Air temperature Big Data Forecasting LSTM Machine learning Mathematical models Missing data Neural networks Outliers (statistics) Prophet model Short term Social networks Temperature Weather forecasting
ISSN:	0361-0918, 1532-4141
Online-Zugang:	Volltext
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