Profit Prediction Using ARIMA, SARIMA and LSTM Models in Time Series Forecasting: A Comparison
Time series forecasting using historical data is significantly important nowadays. Many fields such as finance, industries, healthcare, and meteorology use it. Profit analysis using financial data is crucial for any online or offline businesses and companies. It helps understand the sales and the pr...
Main Authors: | Uppala Meena Sirisha, Manjula C. Belavagi, Girija Attigeri |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9964190/ |
Similar Items
-
Comparison of ARIMA and SARIMA for Forecasting Crude Oil Prices
by: Vika Putri Ariyanti, et al.
Published: (2023-03-01) -
Comparative analysis of stock price ARIMA and LSTM forecasting methods
by: Aivaras Bielskis, et al.
Published: (2022-12-01) -
Modelado de pérdidas en una transmisión de video por medio de series de tiempo ARIMA y SARIMA
by: Danilo Alfonso López Sarmiento, et al.
Published: (2013-09-01) -
Drought forecasting using W-ARIMA model with standardized precipitation index
by: Reza Rezaiy, et al.
Published: (2023-09-01) -
SARIMA Model Forecasting Performance of the COVID-19 Daily Statistics in Thailand during the Omicron Variant Epidemic
by: Khanita Duangchaemkarn, et al.
Published: (2022-07-01)