Orestis P. Panagopoulos
- (2021): A low-complexity non-intrusive approach to predict the energy demand of buildings over short-term horizons. In: Advances in Building Energy Research, v. 16, n. 2 (January 2021).
- (2019): Settlement Prediction Using Support Vector Machine (SVM)-Based Compressibility Models: A Case Study. In: International Journal of Civil Engineering, v. 17, n. 10 (March 2019).
- (2018): Soil-Compressibility Prediction Models Using Machine Learning. In: Journal of Computing in Civil Engineering, v. 32, n. 1 (January 2018).
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