Peer-to-peer energy trading: A review of the literature EA Soto, LB Bosman, E Wollega, WD Leon-Salas Applied energy 283, 116268, 2021 | 431 | 2021 |
Teachers in an interdisciplinary learning community: Engaging, integrating, and strengthening K-12 education PL Hardré, C Ling, RL Shehab, MA Nanny, MU Nollert, H Refai, ... Journal of Teacher Education 64 (5), 409-425, 2013 | 82 | 2013 |
Ambient temperature and solar irradiance forecasting prediction horizon sensitivity analysis J Ramirez-Vergara, LB Bosman, WD Leon-Salas, E Wollega Machine Learning with Applications 6, 100128, 2021 | 31 | 2021 |
Review of forecasting methods to support photovoltaic predictive maintenance J Ramirez-Vergara, LB Bosman, E Wollega, WD Leon-Salas Cleaner Engineering and Technology 8, 100460, 2022 | 22 | 2022 |
Designing and evaluating a STEM teacher learning opportunity in the research university PL Hardré, C Ling, RL Shehab, J Herron, MA Nanny, MU Nollert, H Refai, ... Evaluation and program planning 43, 73-82, 2014 | 21 | 2014 |
Comparison of net-metering with peer-to-peer models using the grid and electric vehicles for the electricity exchange EA Soto, LB Bosman, E Wollega, WD Leon-Salas Applied Energy 310, 118562, 2022 | 18 | 2022 |
Analysis of grid disturbances caused by massive integration of utility level solar power systems EA Soto, LB Bosman, E Wollega, WD Leon-Salas Eng 3 (2), 236-253, 2022 | 17 | 2022 |
Comparison of Machine Learning Algorithms for Wind Speed Prediction AF Antor, ED Wollega | 15 | 2020 |
Efficient stochastic gradient descent for learning with distributionally robust optimization S Ghosh, M Squillante, E Wollega arXiv preprint arXiv:1805.08728, 2018 | 14 | 2018 |
Situating teachers’ developmental engineering experiences in an inquiry-based, laboratory learning environment PL Hardré, C Ling, RL Shehab, MA Nanny, MU Nollert, H Refai, ... Teacher Development 21 (2), 243-268, 2017 | 12 | 2017 |
Efficient stochastic gradient descent for distributionally robust learning S Ghosh, M Squillante, E Wollega arXiv preprint arXiv:1805.08728, 2018 | 10 | 2018 |
Teachers learning to prepare future engineers: A systemic analysis through five componments of development and transfer PL Hardré, C Ling, RL Shehab, MA Nanny, H Refai, MU Nollert, ... Teacher Education Quarterly 45 (2), 61-88, 2018 | 9 | 2018 |
Responsive educational transformations during emergency situations: collaborative autoethnography applied to the engineering classroom LB Bosman, E Wollega, U Naeem International Journal of Engineering Education 38 (2), 288-298, 2022 | 8 | 2022 |
Reduction in Emissions by Massive Solar Plant Integration in the US Power Grid EA Soto, E Wollega, A Vizcarrondo Ortega, A Hernandez-Guzman, ... Energies 17 (7), 1611, 2024 | 6 | 2024 |
Using Machine Learning to Assess Solar Energy Grid Disturbances J Ramirez, EA Soto, E Wollega, LB Bosman | 5 | 2020 |
Predicting on-site solar energy generation using off-site weather stations and deep neural networks J Ramirez-Vergara, LB Bosman, WD Leon-Salas, E Wollega International Journal of Energy and Environmental Engineering 14 (1), 1-13, 2023 | 4 | 2023 |
Efficient generalization with distributionally robust learning S Ghosh, M Squillante, E Wollega Advances in Neural Information Processing Systems 34, 28310-28322, 2021 | 4 | 2021 |
Bi-level stochastic approximation for joint optimization of hydroelectric dispatch and spot-market operations ED Wollega, S Ghosh, MS Squillante 2016 Winter Simulation Conference (WSC), 1769-1780, 2016 | 3 | 2016 |
User-based collaborative filtering recommender systems approach in industrial engineering curriculum design and review process E Wollega, VA Winckler 2016 ASEE Annual Conference & Exposition, 2016 | 3 | 2016 |
Integrating the entrepreneurial mindset into solar energy statistical analysis and performance modeling L Bosman, E Soto, TF Varela, E Wollega Teaching Statistics 45 (2), 79-84, 2023 | 2 | 2023 |