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Chang Fu
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An alternative method for mitigating impacts of communication delay on load frequency control
C Fu, C Wang, D Shi
International Journal of Electrical Power & Energy Systems 119, 105924, 2020
222020
Improvement to the prediction of fuel cost distributions using ARIMA model
Z Zhao, C Fu, C Wang, CJ Miller
2018 IEEE power & energy society general meeting (PESGM), 1-5, 2018
172018
Bayesian estimation on load model coefficients of ZIP and induction motor model
H Li, Q Chen, C Fu, Z Yu, D Shi, Z Wang
Energies 12 (3), 547, 2019
152019
Development of autonomous schedules of controllable loads for cost reduction and pv accommodation in residential distribution networks
S Alyami, C Wang, C Fu
2015 IEEE Electrical Power and Energy Conference (EPEC), 81-86, 2015
92015
Bayesian estimation based load modeling report
C Fu, Z Yu, D Shi
arXiv preprint arXiv:1810.07675, 2018
72018
Control of PV systems for distribution network voltage regulation with communication delays
C Fu, C Wang, L Wang, B Zhao
Electric Power Systems Research 179, 106071, 2020
52020
Characterization and distribution model for fuel costs in electricity market
C Fu, C Wang, CJ Miller, Y Wang
2017 International Energy and Sustainability Conference (IESC), 1-6, 2017
52017
Bayesian estimation based parameter estimation for composite load
C Fu, Z Yu, D Shi, H Li, C Wang, Z Wang, J Li
2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019
42019
An lmi based stability margin analysis for active pv power control of distribution networks with time-invariant delays
C Fu, C Wang, S Alyami
2018 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2018
42018
Study of slime water concentration measurement and influencing factors with ultrasonic attenuation theory
WD Wang, CL Zhang, WJ Wang, C Fu
Advanced Materials Research 347, 1764-1768, 2012
22012
Analysis and Mitigation of the Impacts of Delays in Control of Power Systems with Renewable Energy Sources
C Fu
Wayne State University, 2019
12019
Bayesian estimation based parameter estimation for composite load model
Z Yu, Y Wang, H Li, C Fu, Z Wang, D Shi
US Patent 11,181,873, 2021
2021
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Articles 1–12