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Development of daily temperature prediction model for Northeastern Thailand using artificial neural networks |
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| รหัสดีโอไอ | |
| Creator | 1. Sukrit Kirtsaeng 2. Pattara Sukthawee 3. Banluesak Khosuk 4. Fatah Masthawee 5. Nuttapong Pantong 6. Kasamawan Taorat |
| Title | Development of daily temperature prediction model for Northeastern Thailand using artificial neural networks |
| Publisher | Faculty of Engineering, Khon Kaen University |
| Publication Year | 2559 |
| Journal Title | KKU Engineering Journal |
| Journal Vol. | 43 |
| Journal No. | S3 |
| Page no. | 487-490 |
| Keyword | Artificial neural networks, Temperature prediction, Northeastern Thailand |
| ISSN | 0125-8273 |
| Abstract | The aims of this study was to develop the daily temperature prediction models for Northeastern Thailand. Data of 23 northeastern meteorological stations from 1980-2011 were employed for models training with 10,000 data patterns while a 1-year observation of 2014 was left out for performance comparison purpose. The performance of models were calculated by the forecast accuracy on the set of previously selected days. The developed model of daily maximum temperature forecast (Tmax models) and daily minimum temperature forecast (Tmin models) forecast ahead 24-72 hours. As a result, MAE was in range of 0.85-1.95 for Tmin and 0.85-2.68 for Tmax while RMSE varied 1.16-2.32 and 1.51-3.19, respectively. R-square, moreover, showed good relationship between predicted temperature and actual temperature. Therefore, the 24-hour forecast model is better correlation than 48 hours and 72 hours, respectively. |
