APA (7th ed.) Citation

Ning, Y., Kazemi, H., & Tahmasebi, P. (2022). A comparative machine learning study for time series oil production forecasting: ARIMA, LSTM, and Prophet. Computers & geosciences, 164, 105126. https://doi.org/10.1016/j.cageo.2022.105126

Chicago Style (17th ed.) Citation

Ning, Yanrui, Hossein Kazemi, and Pejman Tahmasebi. "A Comparative Machine Learning Study for Time Series Oil Production Forecasting: ARIMA, LSTM, and Prophet." Computers & Geosciences 164 (2022): 105126. https://doi.org/10.1016/j.cageo.2022.105126.

MLA (9th ed.) Citation

Ning, Yanrui, et al. "A Comparative Machine Learning Study for Time Series Oil Production Forecasting: ARIMA, LSTM, and Prophet." Computers & Geosciences, vol. 164, 2022, p. 105126, https://doi.org/10.1016/j.cageo.2022.105126.