Official Journal of the Asia Oceania Geosciences Society (AOGS)
Table 1 Examples of univariate time series forecasting in geoscience
From: One-step ahead forecasting of geophysical processes within a purely statistical framework
s/n | Study | Process | Number of original time series | Forecast time scale | Forecast horizon(s) [step(s) ahead] | Univariate time series forecasting method(s) |
|---|---|---|---|---|---|---|
1 | Hong (2008) | Precipitation | 9 | Hourly | 1 | (1) Support vector machines (2) Hybrid model, i.e. a combination of recurrent neural networks and support vector machines |
2 | Chau and Wu (2010) | 2 | Daily | 1, 2, 3 | (1) Neural networks (2) Hybrid model, i.e. a combination of neural networks and support vector machines | |
3 | Htike and Khalifa (2010) | 1 | Monthly, biannually, quarterly, yearly | 1 | Neural networks | |
4 | Wu et al. (2010) | 4 | Monthly, daily | 1, 2, 3 | (1) Linear regression (2) k-nearest neighbours (3) Neural networks (4) Hybrid model, i.e. a combination of neural networks | |
5 | Narayanan et al. (2013) | 6 | Yearly | 21 × 3 (months) | AutoRegressive Integrated Moving Average (ARIMA) | |
6 | Wang et al. (2013) | 1 | Monthly | 12 | Seasonal AutoRegressive Integrated Moving Average (SARIMA) | |
7 | Babu and Reddy (2012) | Temperature | 1 | Yearly | 10 | (1) ARIMA (2) Wavelet-based ARIMA |
8 | Chawsheen and Broom (2017) | 1 | Monthly | 121 | SARIMA | |
9 | Lambrakis et al. (2000) | Streamflow or river discharge | 1 | Daily | 1 | (1) Farmer’s model (2) Neural networks |
10 | Ballini et al. (2001) | 1 | Monthly | 1, 3, 6, 12 | (1) AutoRegressive Moving Average (ARMA) (2) Neural networks (3) Neurofuzzy networks | |
11 | Yu et al. (2004) | 2 | Daily | 1 | (1) Support vector machines coupled with an evolutionary algorithm (2) Standard chaos technique (3) Naïve (4) Inverse approach (5) ARIMA | |
12 | Komorník et al. (2006) | 7 | Monthly | 1, 3, 6, 12 | (1) Threshold AutoRegressive (AR) with aggregation operators (2) Logistic smooth transition AR (3) Self-exciting threshold AR (4) Naïve | |
13 | Yu and Liong (2007) | 2 | Daily | 1 | (1) Support vector machines coupled with decomposition (2) Standard chaos technique (3) Naïve (4) Inverse approach (5) ARIMA | |
14 | Koutsoyiannis et al. (2008) | 1 × 12 (months) | Yearly | 1 | (1) Stochastic (2) Analogue method (3) Neural networks | |
15 | Wang et al. (2015) | 3 | Monthly | 12 | SARIMA |