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Zijun Zhang
Zijun Zhang
Professor, School of Data Science, City University of Hong Kong
Bestätigte E-Mail-Adresse bei cityu.edu.hk
Titel
Zitiert von
Zitiert von
Jahr
Wind Turbine Gearbox Failure Identification with Deep Neural Networks
L Wang, Z Zhang, H Long, J Xu, R Liu
IEEE Transactions on Industrial Informatics 13 (3), 1360-1368, 2017
3372017
A data-driven approach for steam load prediction in buildings
A Kusiak, M Li, Z Zhang
Applied Energy 87 (3), 925-933, 2010
2632010
Automatic Detection of Wind Turbine Blade Surface Cracks Based on UAV-taken Images
L Wang, Z Zhang
IEEE Transactions on Industrial Electronics 64 (9), 7293 - 7303, 2017
2572017
Short-term Wind Speed Forecasting via Stacked Extreme Learning Machine With Generalized Correntropy
X Luo, J Sun, L Wang, W Wang, W Zhao, J Wu, JH Wang, Z Zhang
IEEE Transactions on Industrial Informatics 14 (11), 4963-4971, 2018
2302018
Prediction, operations, and condition monitoring in wind energy
A Kusiak, Z Zhang, A Verma
Energy 60, 1-12, 2013
2272013
A Prediction Model Guided Jaya Algorithm for the PV System Maximum Power Point Tracking
C Huang, L Wang, RS Yeung, Z Zhang, HSH Chung, A Bensoussan
IEEE Transactions on Sustainable Energy 9 (1), 45-55, 2018
2222018
Short-Term Electricity Price Forecasting with Stacked Denoising Autoencoders
L Wang, Z Zhang, J Chen
IEEE Transactions on Power Systems 32 (4), 2673-2681, 2017
2082017
Fault Analysis and Condition Monitoring of the Wind Turbine Gearbox
Z Zhang, A Verma, A Kusiak
IEEE Transactions on Energy Conversion 27 (2), 526-535, 2012
1882012
Short-horizon prediction of wind power: A data-driven approach
A Kusiak, Z Zhang
IEEE Transactions on Energy Conversion 25 (4), 1112-1122, 2010
1742010
Analysis of daily solar power prediction with data-driven approaches
H Long, Z Zhang, Y Su
Applied Energy 126, 29-37, 2014
1732014
Wind Turbine Blade Breakage Monitoring with Deep Autoencoders
L Wang, Z Zhang, J Xu, R Liu
IEEE Transactions on Smart Grid 9 (4), 2824-2833, 2018
1602018
Early prediction of battery lifetime via a machine learning based framework
Z Fei, F Yang, KL Tsui, L Li, Z Zhang
Energy 225, 120205, 2021
1422021
Short-term Wind Speed Forecasting with Markov-switching Model
Z Song, Y Jiang, Z Zhang
Applied Energy 130, 103-112, 2014
1292014
Differential evolution with a new encoding mechanism for optimizing wind farm layout
Y Wang, H Liu, H Long, Z Zhang, S Yang
IEEE Transactions on Industrial Informatics 14 (3), 1040 - 1054, 2018
1282018
Predictive modeling and optimization of a multi-zone HVAC system with data mining and firefly algorithms
Y Zeng, Z Zhang, A Kusiak
Energy 85, 393-402, 2015
1172015
Minimization of energy consumption in HVAC systems with data-driven models and an interior-point method
A Kusiak, G Xu, Z Zhang
Energy Conversion and Management 85, 146-153, 2014
1092014
Hybrid Ensemble Deep Learning for Deterministic and Probabilistic Low-voltage Load Forecasting
Z Cao, C Wan, Z Zhang, F Li, Y Song
IEEE Transactions on Power Systems 35 (3), 1881-1897, 2020
1042020
Modeling and optimization of a wastewater pumping system with data-mining methods
Z Zhang, A Kusiak, Y Zeng, X Wei
Applied Energy 164, 303-311, 2016
962016
Minimizing pump energy in a wastewater processing plant
Z Zhang, Y Zeng, A Kusiak
Energy 47 (1), 505-514, 2012
952012
Data-Driven Wind Turbine Power Generation Performance Monitoring
H Long, L Wang, Z Zhang, Z Song, J Xu
IEEE Transactions on Industrial Electronics 62 (10), 6627-6635, 2015
942015
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