Articles with public access mandates - Eunshin ByonLearn more
Available somewhere: 27
The internet of federated things (IoFT)
R Kontar, N Shi, X Yue, S Chung, E Byon, M Chowdhury, J Jin, W Kontar, ...
IEEE Access 9, 156071-156113, 2021
Mandates: US National Science Foundation
A collaborative learning framework for estimating many individualized regression models in a heterogeneous population
Y Lin, K Liu, E Byon, X Qian, S Liu, S Huang
IEEE Transactions on Reliability 67 (1), 328-341, 2017
Mandates: US National Science Foundation
Direction-dependent power curve modeling for multiple interacting wind turbines
M You, B Liu, E Byon, S Huang, J Jin
IEEE Transactions on power systems 33 (2), 1725-1733, 2017
Mandates: US National Science Foundation
HEAT-human embodied autonomous thermostat
D Li, CC Menassa, VR Kamat, E Byon
Building and Environment 178, 106879, 2020
Mandates: US National Science Foundation
When wind travels through turbines: A new statistical approach for characterizing heterogeneous wake effects in multi-turbine wind farms
M You, E Byon, J Jin, G Lee
IISE Transactions 49 (1), 84-95, 2017
Mandates: US National Science Foundation
Integrative density forecast and uncertainty quantification of wind power generation
J Wang, A AlShelahi, M You, E Byon, R Saigal
IEEE Transactions on Sustainable Energy 12 (4), 1864-1875, 2021
Mandates: US National Science Foundation
On the long-term density prediction of peak electricity load with demand side management in buildings
Y Jang, E Byon, E Jahani, K Cetin
Energy and BUILDINGS 228, 110450, 2020
Mandates: US National Science Foundation
Condition-based joint maintenance optimization for a large-scale system with homogeneous units
YM Ko, E Byon
IISE Transactions 49 (5), 493-504, 2017
Mandates: US National Science Foundation
Computationally efficient uncertainty minimization in wind turbine extreme load assessments
Y Choe, Q Pan, E Byon
Journal of Solar Energy Engineering 138 (4), 041012, 2016
Mandates: US National Science Foundation
Uncertainty quantification of stochastic simulation for black-box computer experiments
Y Choe, H Lam, E Byon
Methodology and Computing in Applied Probability 20, 1155-1172, 2018
Mandates: US National Science Foundation
Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling
B Liu, X Yue, E Byon, RA Kontar
The Annals of Applied Statistics 16 (3), 1795-1821, 2022
Mandates: US National Science Foundation
Look-ahead decision making for renewable energy: A dynamic “predict and store” approach
J Wang, S Chung, A AlShelahi, R Kontar, E Byon, R Saigal
Applied Energy 296, 117068, 2021
Mandates: US National Science Foundation
Adaptive importance sampling for extreme quantile estimation with stochastic black box computer models
Q Pan, E Byon, YM Ko, H Lam
Naval Research Logistics (NRL) 67 (7), 524-547, 2020
Mandates: US National Science Foundation
Uncertainty quantification for extreme quantile estimation with stochastic computer models
Q Pan, YM Ko, E Byon
IEEE Transactions on Reliability 70 (1), 134-145, 2020
Mandates: US National Science Foundation
Probabilistic characterization of wind diurnal variability for wind resource assessment
Y Jang, E Byon
IEEE Transactions on Sustainable Energy 11 (4), 2535-2544, 2020
Mandates: US National Science Foundation
Change‐point detection on solar panel performance using thresholded LASSO
Y Choe, W Guo, E Byon, J Jin, J Li
Quality and Reliability Engineering International 32 (8), 2653-2665, 2016
Mandates: US National Science Foundation
Optimal budget allocation for stochastic simulation with importance sampling: Exploration vs. replication
Y Myoung Ko, E Byon
IISE Transactions 54 (9), 881-893, 2022
Mandates: US National Science Foundation
Data-driven prediction for volatile processes based on real option theories
A AlShelahi, J Wang, M You, E Byon, R Saigal
International Journal of Production Economics 226, 107605, 2020
Mandates: US National Science Foundation
Nonparametric importance sampling for wind turbine reliability analysis with stochastic computer models
S Li, YM Ko, E Byon
The Annals of Applied Statistics 15 (4), 1850-1871, 2021
Mandates: US National Science Foundation
Wake Effect Calibration in Wind Power Systems with Adaptive Sampling based Optimization
P Jain, S Shashaani, E Byon
IIE Annual Conference. Proceedings, 2021
Mandates: US National Science Foundation
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