Machine Learning

[8] Pierzyna*, M., Saathof, R., and Basu, S. (2023). "Π-ML: A dimensional analysis-based machine learning parameterization of optical turbulence in the atmospheric surface layer", Optics Letters, 48, 4484-4487.

[7] Kartal+, S., Basu, S., and Watson, S. J. (2023). "A decision tree-based measure-correlate-predict approach for peak wind gust estimation from a global reanalysis dataset", Wind Energy Science,  https://wes.copernicus.org/articles/8/1533/2023/.  

[6] Li*, B., Basu, S., Watson, S. J. (2022). "Automated identification of "Dunkelflaute" events: A convolutional neural network-based autoencoder approach", Artificial Intelligence for the Earth Systems, in press. 

[5] Cheneka*, B. R., Watson, S. J., Basu, S. (2021). "Associating synoptic-scale weather patterns with aggregated offshore wind power production and ramps", Energies, 14, 3903.  

Basu, S., Watson, S. J., Lacoa Arends*, E., and Cheneka*, B. R. (2020). "Day-ahead wind power predictions at regional scales: Post-processing operational weather forecasts with a hybrid neural network", 17th International Conference on the European Energy Market (EEM20), IEEE, doi: 10.1109/EEM49802.2020.9221979.

Lacoa Arends*, E., Watson, S. J., Basu, S., and Cheneka*, B. R. (2020). "Probabilistic wind power forecasting combining deep learning architectures", 17th International Conference on the European Energy Market (EEM20), IEEE, doi: 10.1109/EEM49802.2020.9221929.

[4] Al-Younis, W., Nevarez, C., Abdullah-Al-Mamun, M., Basu, S., and Voelz, D. (2020). "Image shift due to atmospheric refraction: Prediction by numerical weather modeling and machine learning", Optical Engineering, 59(8), 081803.

[3] Durán, P., Basu, S., Meißner, C., and Adaramola, M. S. (2019). "Automated classification of simulated wind field patterns from multi-physics ensemble forecasts". Wind Energy, doi: 10.1002/we.2462.

[2] Wang*, Y., and Basu, S. (2016). "Using an artificial neural network approach to estimate surface-layer optical turbulence at Mauna Loa, Hawaii", Optics Letters, 41, 2334-2337. 

Wang*, Y., and Basu, S. (2014). "Estimation of optical turbulence in the atmospheric surface layer from routine meteorological observations: An artificial neural network approach", Proceedings of SPIE Optics & Photonics, doi: 10.1117/12.2063168.

[1] Basu, S., Henshaw, P. F., Biswas, N., and Kwan, H. K. (2002). "Prediction of gas-phase adsorption isotherms using neural nets", The Canadian Journal of Chemical Engineering, 80(3), 506-512.