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References

1 
"Ahn, S. R., Lee, J. W. and Kim, S. J. (2015). “Projection of future snowfall and assessment of heavy snowfall vulnerable area using RCP climate change scenarios.” Journal of the Korean Society of Civil Engineers, Vol. 35, No. 3, pp. 545-556, https://doi.org/ 10.12652/Ksce.2015.35.3.0545 (in Korean)."DOI
2 
"Alin, A. (2010). “Multicollinearity.” WIREs Computational Statistics, Vol. 2, No. 3, pp. 370-374, https://doi.org/10.1002/wics.84."DOI
3 
"Bergstra, J., Baardenet, R., Bengio, Y. and Kegl, B. (2011). “Algorithms for hyper-parameter optimization.” Advances in Neural Information Processing Systems 24, Spain, pp. 1-9."URL
4 
"Bilgin, O., Mąka, P., Vergutz, T. and Mehrkanoon, S. (2021). “TENT: Tensorized encoder transformer for temperature forecasting.” arXiv preprint arXiv, 2106.14742, https://doi.org/ 10.48550/arXiv.2106.14742."DOI
5 
"Chan, J. Y. L., Leow, S. M. H., Bea, K. T., Cheng, W. K., Phoong, S. W., Hong, Z. W. and Chen, Y. L. (2022). “Mitigating the multicollinearity problem and its machine learning approach: a review.” Mathematics, Vol. 10, No. 8, 1283, https://doi.org/10.3390/ math10081283."DOI
6 
"Cheng, C., Sa-Ngasoongsong, A., Beyca, O., Le, T., Yang, H., Kong, Z. and Bukkapatnam, S. T. (2015). “Time series forecasting for nonlinear and non-stationary processes: a review and comparative study.” IIE Transactions, Vol. 47, No. 10, pp. 1053-1071, https://doi.org/10.1080/0740817X.2014.999180."DOI
7 
"Choi, Y., Yoon, D., Choi, J. and Byun, J. (2020). “Hyperparameter search for facies classification with bayesian optimization.” Geophysics and Geophysical Exploration, Vol. 23, No. 3, pp. 157-167, https://doi.org/10.7582/GGE.2020.23.3.00157."DOI
8 
"Contreras-Reyes, J. E., Jeldes-Delgado, F. and Carrasco, R. (2024). “Jensen-Detrended Cross-Correlation function for non-stationary time series with application to Latin American stock markets.” Physica A: Statistical Mechanics and its Applications, Vol. 654, 130115, https://doi.org/10.1016/j.physa.2024.130115."DOI
9 
"Dai, T., Wu, B., Liu, P., Li, N., Yuerong, X., Xia, S. T. and Zhu, Z. (2024). “DDN: Dual-domain dynamic normalization for non-stationary time series forecasting.” Advances in Neural Information Processing Systems 37, Canada, pp. 1-28."URL
10 
"EM-DAT. (2025). The International Disaster Database. Centre for Research on the Epidemiology of Disasters. Available at: https://www.emdat.be. (Accessed 3 April 2025)."URL
11 
"Frazier, P. I. (2018). “Bayesian optimization.” Recent Advances in Optimization and Modeling of Contemporary Problems, pp. 255-278, https://doi.org/10.1287/educ.2018.0188."DOI
12 
"Hamidi, O., Tapak, L., Abbasi, H. and Maryanaji, Z. (2018). “Application of random forest time series, support vector regression and multivariate adaptive regression splines models in prediction of snowfall (a case study of Alvand in the middle Zagros, Iran).” Theoretical and Applied Climatology, Vol. 134, pp. 769-776, https://doi.org/10.1007/s00704-017-2300-9."DOI
13 
"Han, H., Liu, Z., Barrios Barrios, M., Li, J., Zeng, Z., Sarhan, N. and Awwad, E. M. (2024). “Time series forecasting model for non-stationary series pattern extraction using deep learning and GARCH modeling.” Journal of Cloud Computing, Vol. 13, 2, https://doi.org/10.1186/s13677-023-00576-7."DOI
14 
"Hao, W., Sun, X., Wang, C., Chen, H. and Huang, L. (2022). “A hybrid EMD-LSTM model for non-stationary wave prediction in offshore China.” Ocean Engineering, Vol. 246, 110566, https://doi.org/10.1016/j.oceaneng.2022.110566."DOI
15 
"Hochreiter, S. and Schmidhuber, J. (1997). “Long short-term memory.” Neural Computation, Vol. 9, No. 8, pp. 1735-1780, https://doi.org/10.1162/neco.1997.9.8.1735."DOI
16 
"Hoopes, C. A., Castro, C. L., Behrangi, A., Ehsani, M. R. and Broxton, P. (2023). “Improving prediction of mountain snowfall in the southwestern United States using machine learning methods.” Meteorological Applications, Vol. 30, No. 6, e2153, https://doi.org/10.1002/met.2153."DOI
17 
"Jeong, Y., Lee, S., Lee, J., Seo, B., Kim, D., Seo, Y. and Choi, W. (2022). “Development of a stochastic snow depth prediction model using a bayesian deep learning method.” Journal of the Korea Society of Agricultural Engineers, Vol. 64, No. 6, pp. 35-41, https://doi.org/10.5389/KSAE.2022.64.6.035 (in Korean)."DOI
18 
"Kim, D., Jeong, Y., Lee, S., Lee, J., Hwang, K. and Choi, W. (2021). “Development of snow load sensor and analysis of warning criterion for heavy snow disaster prevention alarm system in plastic greenhouse.” Journal of the Korea Society of Agricultural Engineers, Vol. 63, No. 2, pp. 75-84, https://doi.org/ 10.5389/KSAE.2021.63.2.075 (in Korean)."DOI
19 
"Kim, S. O., Park, J. H. and Hwang, K. H. (2022a). “Minimizing estimation errors of a wind velocity forecasting technique that functions as an early warning system in the agricultural sector.” Korean Journal of Agricultural and Forest Meteorology, Vol. 24, No. 2, pp. 63-77, https://doi.org/10.5532/KJAFM.2022.24.2.63 (in Korean)."DOI
20 
"Kim, Y. G., Kim, B. J. and Ahn, S. M. (2022b). “Application of a spatiotemporal transformer model for improving fine dust forecasting performance.” Journal of Intelligence and Information Systems, Vol. 28, No. 1, pp. 329-352, http://dx.doi.org/10.13088/ jiis.2022.28.1.329 (in Korean)."DOI
21 
"Kim, Y., Kang, N., Kim, S. and Kim, H. (2013). “Evaluation for snowfall depth forecasting using neural network and multiple regression models.” Journal of KOSHAM, Vol. 13, No. 2, pp. 269-280, http://dx.doi.org/10.9798/KOSHAM.2013.13.2.269 (in Korean)."DOI
22 
"Ku, S. K., Hong, S. M., Kim, K. Y. and Kwon, J. (2019). “Development for estimation improvement model of wind velocity using deep neural network.” Journal of Advanced Navigation Technology, Vol. 23, No. 6, pp. 597-604, https://doi.org/ 10.12673/jant.2019.23.6.597 (in Korean)."DOI
23 
"Lee, J. W. (2022). “Greenhouse design and disaster prevention.” Magazine of the Korean Society of Agricultural Engineers, Vol. 64, No. 1, pp. 43-53 (in Korean)."URL
24 
"Lee, J. W., Park, T. N., Jo, Y. W., Jeong, S. Y., Hwang, J. H., Ahn, T. Y., Mun, H. R., Kim, H. H. and Kim, S. B. (2025). “Long-term sales forecasting for apparel sales based on transformer.” Journal of the Korean Institute of Industrial Engineers, Vol. 51, No. 1, pp. 48-60, https://doi.org/10.7232/JKIIE.2025.51.1.048 (in Korean)."DOI
25 
"Lee, S. and Bae, H. B. (2025). “Development of traffic accident prediction model using LSTM-based time series data analysis.” The Journal of Korea Institute of Information, Electronics, and Communication Technology, Vol. 18, No. 1, pp. 24-31, http://dx.doi.org/10.17661/jkiiect.2025.18.1.24 (in Korean)."DOI
26 
"Lee, S., Jeong, Y., Lee, J., Chung, G. and Choi, W. (2020). “Development of a heavy snowfall alarm model using a Markov chain for disaster prevention to greenhouses.” Biosystems Engineering, Vol. 200, pp. 353-365, https://doi.org/10.1016/ j.biosystemseng.2020.10.019."DOI
27 
"Ministry of Agriculture, Food and Rural Affairs (MAFRA) (2024). Greenhouse Statistics and Vegetable Yield Trends in 2023 (in Korean)."URL
28 
"Ministry of the Interior and Safety (MOIS) (2024). 2020 Disaster Report (in Korean)."URL
29 
"Niu, X., Liu, Y. and Ma, M. (2024). “A transformer-based model for time series prediction of remote sensing data.” Advanced Intelligent Computing Technology and Applications, Vol. 14876, pp. 188-200, https://doi.org/10.1007/978-981-97-5666-7_16."DOI
30 
"Oh, Y. R. and Chung, G. (2017). “Estimation of snow damage and proposal of snow damage threshold based on historical disaster data.” Journal of the Korean Society of Civil Engineers, Vol. 37, No. 2, pp. 325-331, https://doi.org/10.12652/Ksce.2017.37.2.0325 (in Korean)."DOI
31 
"Park, J. M., Lee, D. W., Jo, G. and Yoon, H. S. (2023). “Transformer-based photovoltaic power prediction model utilizing multiple weather forecasts.” Journal of the Korean Solar Energy Society, Vol. 43, No. 6, pp. 87-95, https://doi.org/10.7836/ kses.2023.43.6.087 (in Korean)."DOI
32 
"Qian, Y. (2025). “An enhanced transformer framework with incremental learning for online stock price prediction.” PLOS One, Vol. 20, No. 1, e0316955, https://doi.org/10.1371/journal. pone.0316955."DOI
33 
"Seo, B. H., Lee, S., Kim, D. K., Lee, J. H., Kim, D. S., Kim, D. W., Jo, Y. and Choi, W. (2025). “Structural safety assessment procedure of plastic single-span greenhouses considering semi-rigid clamp joints.” Results in Engineering, Vol. 25, 104106, https://doi.org/10.1016/j.rineng.2025.104106."DOI
34 
"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L. and Polosukhin, I. (2017). “Attention is all you need.” Advances in Neural Information Processing Systems 30, United States of America, pp. 1-11."URL
35 
"Victoria, A. H. and Maragatham, G. (2021). “Automatic tuning of hyperparameters using bayesian optimization.” Evolving Systems, Vol. 12, No. 1, pp. 217-223, https://doi.org/10.1007/s12530-020-09345-2."DOI
36 
"Wu, S., Xiao, X., Ding, Q., Zhao, P., Wei, Y. and Huang, J. (2020). “Adversarial sparse transformer for time series forecasting.” Advances in Neural Information Processing Systems 33, Online, pp. 1-11."URL
37 
"Zhang, X., Li, X., Li, L., Zhang, S. and Qin, Q. (2019). “Environmental factors influencing snowfall and snowfall prediction in the Tianshan Mountains, Northwest China.” Journal of Arid Land, Vol. 11, pp. 15-28, https://doi.org/10.1007/s40333-018-0110-2."DOI