| The Perdigão: peering into microscale details of mountain winds HJS Fernando, J Mann, J Palma, JK Lundquist, RJ Barthelmie, ... Bulletin of the American Meteorological Society 100 (5), 799-819, 2019 | 164 | 2019 |
| Analysis of Random Forest Modeling Strategies for Multi-Step Wind Speed Forecasting D Vassallo, R Krishnamurthy, T Sherman, HJS Fernando Energies 13 (20), 5488, 2020 | 41 | 2020 |
| Decreasing wind speed extrapolation error via domain-specific feature extraction and selection D Vassallo, R Krishnamurthy, HJS Fernando Wind Energy Science 5 (3), 959-975, 2020 | 35 | 2020 |
| Utilizing physics-based input features within a machine learning model to predict wind speed forecasting error D Vassallo, R Krishnamurthy, HJS Fernando Wind Energy Science 6 (1), 295-309, 2021 | 27 | 2021 |
| The Perdigao: Peering into microscale details of mountain winds, B. Am. Meteorol. Soc., 100, 799–819 HJS Fernando, J Mann, J Palma, JK Lundquist, RJ Barthelmie, ... | 20 | 2019 |
| Characterizing Reactive Transport Behavior in a Three-Dimensional Discrete Fracture Network T Sherman, G Sole-Mari, J Hyman, MR Sweeney, D Vassallo, D Bolster Transport in Porous Media, 1-21, 2021 | 10 | 2021 |
| Observations of stably stratified flow through a microscale gap D Vassallo, R Krishnamurthy, R Menke, HJS Fernando Journal of the Atmospheric Sciences 78 (1), 189-208, 2021 | 10 | 2021 |
| Time-Series Forecasting Energy Loads: A Case Study in Texas R Rice, K North, G Hansen, D Pearson, O Schaer, T Sherman, D Vassallo 2022 Systems and Information Engineering Design Symposium (SIEDS), 196-201, 2022 | 4 | 2022 |
| Renewable Energy: Wind, Solar, Marine, Hydrokinetic, and Integration I Oral EC Weatherhead, D Vassallo, C Clack, AR Karspeck Fall Meeting 2022, 2022 | | 2022 |
| Augmenting Numerical Weather Models with Artificial Intelligence: Predicting Short-term Wind Speed via Neural Networks T Sherman, D Vassallo AGU Fall Meeting Abstracts 2021, A15Q-04, 2021 | | 2021 |
| Characterizing Reactive Transport Behavior in a Three-Dimensional Discrete Fracture Network D Vassallo, D Bolster, J Hyman, MR Sweeney, G Sole-Mari, T Sherman University of Notre Dame, 2021 | | 2021 |
| Analysis of Gap Flow Phenomena and Machine Learning Strategies for the Prediction of Atmospheric Flows D Vassallo University Of Notre Dame, 2020 | | 2020 |
| Analysis of Random Forest Modeling Strategies for Multi-Step Wind Speed Forecasting R Krishnamurthy, HJS Fernando, D Vassallo, T Sherman Energies 13 (20), 2020 | | 2020 |
| Stratification Effects on Flow through a Microscale Gap D Vassallo, R Krishnamurthy, HJ Fernando AGU Fall Meeting Abstracts 2018, A53B-02, 2018 | | 2018 |
| Nocturnal Reversed Flows Above Parallel Ridges in Perdigão, Portugal R Krishnamurthy, HJ Fernando, LS Leo, D Vassallo, CM Hocut, ... AGU Fall Meeting Abstracts 2017, A21E-2195, 2017 | | 2017 |
Harindra J FernandoUniversity of Notre Dame在 nd.edu 的电子邮件经过验证
