In-situ optimization of thermoset composite additive manufacturing via deep learning and computer vision WJ Wright, J Darville, N Celik, H Koerner, E Celik Additive Manufacturing 58, 102985, 2022 | 24 | 2022 |
Microgrid operational planning using a hybrid neural network with resource-aware scenario selection J Darville, J Curia, N Celik Simulation Modelling Practice and Theory 119, 102583, 2022 | 11 | 2022 |
Advancing self-healing capabilities in interconnected microgrids via dynamic data driven applications system with relational database management A Yavuz, J Darville, N Celik, J Xu, CH Chen, B Langhals, R Engle 2020 winter simulation conference (wsc), 2030-2041, 2020 | 9 | 2020 |
Advancing self-healing capabilities in interconnected Microgrids via DDDAS with relational database management A Yavuz, J Darville, N Celik, J Xu, CH Chen, B Langhals, R Engle Proceedings of the 2020 Winter Simulation Conference, 2030-2041, 2020 | 6 | 2020 |
Simulation and optimization for unit commitment using a regionbased sampling (rbs) algorithm J Darville, N Celik Proceedings of the 2020 IISE Annual Conference, 1424-1430, 2020 | 6 | 2020 |
Effective sampling for drift mitigation in machine learning using scenario selection: A microgrid case study J Darville, A Yavuz, T Runsewe, N Celik Applied Energy 341, 121048, 2023 | 4 | 2023 |
Machine Learning Based Simulation for Fault Detection in Microgrids J Darville, T Runsewe, A Yavuz, N Celik 2022 Winter Simulation Conference (WSC), 701-712, 2022 | 4 | 2022 |
Microgrid operational planning using deviation clustering within a dddas framework J Darville, N Celik International conference on dynamic data driven application systems, 77-84, 2020 | 4 | 2020 |
Machine Learning and Optimization for Smart Grids using the Dynamic Data Driven Applications Systems Paradigm J Darville University of Miami, 0 | | |