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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Vydané v:	Communications in statistics. Simulation and computation Ročník 52; číslo 2; s. 279 - 290
Hlavní autori:	Toharudin, Toni, Pontoh, Resa Septiani, Caraka, Rezzy Eko, Zahroh, Solichatus, Lee, Youngjo, Chen, Rung Ching
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Philadelphia Taylor & Francis 01.02.2023 Taylor & Francis Ltd
Predmet:	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
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