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QIANKUN ZHAO
QIANKUN ZHAO
Verified email at illinois.edu
Title
Cited by
Cited by
Year
The synergy between stakeholders for cellulosic biofuel development: Perspectives, opportunities, and barriers
C Leibensperger, P Yang, Q Zhao, S Wei, X Cai
Renewable and Sustainable Energy Reviews 137, 110613, 2021
402021
Machine learning based estimation of land productivity in the contiguous US using biophysical predictors
P Yang, Q Zhao, X Cai
Environmental research letters 15 (7), 074013, 2020
392020
Determining inflow forecast horizon for reservoir operation
Q Zhao, X Cai, Y Li
Water Resources Research 55 (5), 4066-4081, 2019
292019
Deriving representative reservoir operation rules using a hidden Markov-decision tree model
Q Zhao, X Cai
Advances in Water Resources 146, 103753, 2020
142020
An agent-based modeling tool supporting bioenergy and bio-product community communication regarding cellulosic bioeconomy development
P Yang, X Cai, X Hu, Q Zhao, Y Lee, M Khanna, YR Cortés-Peña, ...
Renewable and Sustainable Energy Reviews 167, 112745, 2022
72022
How do the research and public communities view biofuel development?
Q Zhao, X Cai, W Mischo, L Ma
Renewable and Sustainable Energy Reviews 133, 110265, 2020
62020
Algorithm design based on derived operation rules for a system of reservoirs in parallel
Q Zhao, X Cai, Y Li
Journal of Water Resources Planning and Management 146 (5), 04020024, 2020
62020
Developing a generic data-driven reservoir operation model
Y Chen, D Li, Q Zhao, X Cai
Advances in Water Resources 167, 104274, 2022
52022
Online generic diagnostic reservoir operation tools
Q Zhao, D Li, X Cai
Environmental Modelling & Software 135, 104918, 2021
32021
New considerations for a reservoir capacity optimizer that accounts for failure risks
AB Celeste, X Cai, K Ponnambalam, Q Zhao
Journal of Water Resources Planning and Management 146 (5), 06020003, 2020
32020
Determining Effective Forecast Horizon for Reservoir Operation
Q Zhao, X Cai
AGU Fall Meeting Abstracts 2017, H11J-1334, 2017
12017
Sentiment analysis for flooding control in Wilmington City, North Carolina
YC Chang, Q Zhao, X Cai, M Wang
AGU Fall Meeting Abstracts 2021, H42C-03, 2021
2021
Machine learning based estimation of land productivity in the continental US using biophysical predictors
P Yang, Q Zhao, X Cai
AGU Fall Meeting Abstracts 2019, B23B-08, 2019
2019
Decision support system for reservoir operation using analytical modeling results
Q Zhao
University of Illinois at Urbana-Champaign, 2017
2017
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