| # |
Authors |
Title |
Source |
Year |
Pages |
| 1 |
Supajaidee, N., Chutsagulprom, N., Moonchai, S. |
An Adaptive Moving Window Kriging Based on K-Means Clustering for Spatial Interpolation |
Algorithms |
2024 |
- |
| 2 |
Kongsanun, C., Chutsagulprom, N., Moonchai, S. |
Spatio-Temporal Dual Kriging with Adaptive Coefficient Drift Function |
Mathematics |
2024 |
- |
| 3 |
Baisad, K., Chutsagulprom, N., Moonchai, S. |
A Non-Linear Trend Function for Kriging with External Drift Using Least Squares Support Vector Regression |
Mathematics |
2023 |
- |
| 4 |
Chutsagulprom, N., Chaisee, K., Wongsaijai, B., Inkeaw, P., Oonariya, C. |
Spatial interpolation methods for estimating monthly rainfall distribution in Thailand |
Theoretical and Applied Climatology |
2022 |
317 - 328 |
| 5 |
Moonchai, S., Chutsagulprom, N. |
Semiparametric semivariogram modeling with a scaling criterion for node spacing: A case study of solar radiation distribution in Thailand |
Mathematics |
2020 |
1 - 16 |
| 6 |
Moonchai, S., Chutsagulprom, N. |
Short-term forecasting of renewable energy consumption: Augmentation of a modified grey model with a Kalman filter |
Applied Soft Computing Journal |
2020 |
- |
| 7 |
Chustagulprom, N., Reich, S., Reinhardt, M. |
A hybrid ensemble transform particle filter for nonlinear and spatially extended dynamical systems |
SIAM-ASA Journal on Uncertainty Quantification |
2016 |
592 - 608 |