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

• Published in: Communications in statistics. Simulation and computation Vol. 52; no. 2; pp. 279 - 290
• Main Authors: Toharudin, Toni, Pontoh, Resa Septiani, Caraka, Rezzy Eko, Zahroh, Solichatus, Lee, Youngjo, Chen, Rung Ching
• Format: Journal Article
• Language: English
• Published: Philadelphia Taylor & Francis 01.02.2023; Taylor & Francis Ltd
• Subjects: 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

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...