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Zijun Zhang, Ph.D. - Publications

Affiliations: 
2012 Industrial Engineering University of Iowa, Iowa City, IA 
Area:
Industrial Engineering, Alternative Energy
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53 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Wang L, Song Z, Zhang Z, Huang C. Editorial: Engineering applications of neurocomputing, volume II. Frontiers in Neurorobotics. 17: 1306042. PMID 37936883 DOI: 10.3389/fnbot.2023.1306042  0.363
2023 Zheng Z, Zhang Z. A Stochastic Recurrent Encoder Decoder Network for Multistep Probabilistic Wind Power Predictions. Ieee Transactions On Neural Networks and Learning Systems. PMID 37018569 DOI: 10.1109/TNNLS.2023.3234130  0.389
2022 Wang L, Song Z, Zhang Z, Huang C. Editorial: Engineering Applications of Neurocomputing. Frontiers in Neurorobotics. 16: 839505. PMID 35153710 DOI: 10.3389/fnbot.2022.839505  0.367
2020 Huang C, Wang L, Zhang Z, Yeung RS, Bensoussan A, Chung HS. A Novel Spline Model Guided Maximum Power Point Tracking Method for Photovoltaic Systems Ieee Transactions On Sustainable Energy. 11: 1309-1322. DOI: 10.1109/Tste.2019.2923732  0.402
2020 Cao Z, Wan C, Zhang Z, Li F, Song Y. Hybrid Ensemble Deep Learning for Deterministic and Probabilistic Low-Voltage Load Forecasting Ieee Transactions On Power Systems. 35: 1881-1897. DOI: 10.1109/Tpwrs.2019.2946701  0.357
2020 Huang C, Zhao Z, Wang L, Zhang Z, Luo X. Point and interval forecasting of solar irradiance with an active Gaussian process Iet Renewable Power Generation. 14: 1020-1030. DOI: 10.1049/Iet-Rpg.2019.0769  0.392
2020 Liu X, Zhang Z, Song Z. A comparative study of the data-driven day-ahead hourly provincial load forecasting methods: From classical data mining to deep learning Renewable and Sustainable Energy Reviews. 119: 109632. DOI: 10.1016/J.Rser.2019.109632  0.553
2019 Zhu J, Shen Y, Song Z, Zhou D, Zhang Z, Kusiak A. Data-driven building load profiling and energy management Sustainable Cities and Society. 49: 101587. DOI: 10.1016/J.Scs.2019.101587  0.65
2019 Tang Z, Zhang Z. The multi-objective optimization of combustion system operations based on deep data-driven models Energy. 182: 37-47. DOI: 10.1016/J.Energy.2019.06.051  0.4
2018 Huang C, Wang L, Yeung RS, Zhang Z, Chung HS, Bensoussan A. A Prediction Model-Guided Jaya Algorithm for the PV System Maximum Power Point Tracking Ieee Transactions On Sustainable Energy. 9: 45-55. DOI: 10.1109/Tste.2017.2714705  0.404
2018 Wang L, Zhang Z, Xu J, Liu R. Wind Turbine Blade Breakage Monitoring With Deep Autoencoders Ieee Transactions On Smart Grid. 9: 2824-2833. DOI: 10.1109/Tsg.2016.2621135  0.52
2018 Luo X, Sun J, Wang L, Wang W, Zhao W, Wu J, Wang J, Zhang Z. Short-Term Wind Speed Forecasting via Stacked Extreme Learning Machine With Generalized Correntropy Ieee Transactions On Industrial Informatics. 14: 4963-4971. DOI: 10.1109/Tii.2018.2854549  0.45
2018 Wang Y, Liu H, Long H, Zhang Z, Yang S. Differential Evolution With a New Encoding Mechanism for Optimizing Wind Farm Layout Ieee Transactions On Industrial Informatics. 14: 1040-1054. DOI: 10.1109/Tii.2017.2743761  0.506
2018 Man J, Zhang Z, Zhou Q. Data-driven predictive analytics of unexpected wind turbine shut-downs Iet Renewable Power Generation. 12: 1833-1842. DOI: 10.1049/Iet-Rpg.2018.5520  0.45
2018 Song Z, Zhang Z, Jiang Y, Zhu J. Wind turbine health state monitoring based on a Bayesian data-driven approach Renewable Energy. 125: 172-181. DOI: 10.1016/J.Renene.2018.02.096  0.624
2018 Long H, Zhang Z, Sun M, Li Y. The data-driven schedule of wind farm power generations and required reserves Energy. 149: 485-495. DOI: 10.1016/J.Energy.2018.02.058  0.519
2018 Wang L, Zhang Z, Huang C, Tsui KL. A GPU-accelerated parallel Jaya algorithm for efficiently estimating Li-ion battery model parameters Applied Soft Computing. 65: 12-20. DOI: 10.1016/J.Asoc.2017.12.041  0.333
2017 Jiang Y, Long H, Zhang Z, Song Z. Day-Ahead Prediction of Bihourly Solar Radiance With a Markov Switch Approach Ieee Transactions On Sustainable Energy. 8: 1536-1547. DOI: 10.1109/Tste.2017.2694551  0.575
2017 Long H, Eghlimi M, Zhang Z. Configuration Optimization and Analysis of a Large Scale PV/Wind System Ieee Transactions On Sustainable Energy. 8: 84-93. DOI: 10.1109/Tste.2016.2583469  0.486
2017 Wang L, Zhang Z, Chen J. Short-Term Electricity Price Forecasting With Stacked Denoising Autoencoders Ieee Transactions On Power Systems. 32: 2673-2681. DOI: 10.1109/Tpwrs.2016.2628873  0.41
2017 Wang L, Zhang Z, Long H, Xu J, Liu R. Wind Turbine Gearbox Failure Identification With Deep Neural Networks Ieee Transactions On Industrial Informatics. 13: 1360-1368. DOI: 10.1109/Tii.2016.2607179  0.516
2017 Wang L, Zhang Z. Automatic Detection of Wind Turbine Blade Surface Cracks Based on UAV-Taken Images Ieee Transactions On Industrial Electronics. 64: 7293-7303. DOI: 10.1109/Tie.2017.2682037  0.317
2017 Long H, Zhang Z, Song Z, Kusiak A. Formulation and Analysis of Grid and Coordinate Models for Planning Wind Farm Layouts Ieee Access. 5: 1810-1819. DOI: 10.1109/Access.2017.2657638  0.717
2016 Tan M, Zhang Z. Wind Turbine Modeling With Data-Driven Methods and Radially Uniform Designs Ieee Transactions On Industrial Informatics. 12: 1261-1269. DOI: 10.1109/Tii.2016.2532321  0.518
2016 Song Z, Zhang Z, Chen X. The decision model of 3-dimensional wind farm layout design Renewable Energy. 85: 248-258. DOI: 10.1016/J.Renene.2015.06.036  0.649
2016 Zhang Z, Kusiak A, Zeng Y, Wei X. Modeling and optimization of a wastewater pumping system with data-mining methods Applied Energy. 164: 303-311. DOI: 10.1016/J.Apenergy.2015.11.061  0.72
2016 Sun C, Bie Z, Zhang Z. A new framework for the wind power curtailment and absorption evaluation International Transactions On Electrical Energy Systems. 26: 2134-2147. DOI: 10.1002/Etep.2194  0.487
2015 Long H, Zhang Z. A Two-Echelon Wind Farm Layout Planning Model Ieee Transactions On Sustainable Energy. DOI: 10.1109/Tste.2015.2415037  0.519
2015 Long H, Wang L, Zhang Z, Song Z, Xu J. Data-Driven Wind Turbine Power Generation Performance Monitoring Ieee Transactions On Industrial Electronics. 62: 6627-6635. DOI: 10.1109/Tie.2015.2447508  0.633
2015 Zhang Z, He X, Kusiak A. Data-driven minimization of pump operating and maintenance cost Engineering Applications of Artificial Intelligence. 40: 37-46. DOI: 10.1016/J.Engappai.2015.01.003  0.607
2015 Zeng Y, Zhang Z, Kusiak A. Predictive modeling and optimization of a multi-zone HVAC system with data mining and firefly algorithms Energy. 86: 393-402. DOI: 10.1016/J.Energy.2015.04.045  0.614
2015 Zeng Y, Zhang Z, Kusiak A, Tang F, Wei X. Optimizing wastewater pumping system with data-driven models and a greedy electromagnetism-like algorithm Stochastic Environmental Research and Risk Assessment. DOI: 10.1007/S00477-015-1115-4  0.725
2014 Zhang Z, Zhou Q, Kusiak A. Optimization of Wind Power and Its Variability With a Computational Intelligence Approach Ieee Transactions On Sustainable Energy. 5: 228-236. DOI: 10.1109/Tste.2013.2281354  0.676
2014 Kusiak A, Xu G, Zhang Z. Minimization of energy consumption in HVAC systems with data-driven models and an interior-point method Energy Conversion and Management. 85: 146-153. DOI: 10.1016/J.Enconman.2014.05.053  0.613
2014 He X, Zhang Z, Kusiak A. Performance optimization of HVAC systems with computational intelligence algorithms Energy and Buildings. 81: 371-380. DOI: 10.1016/J.Enbuild.2014.06.021  0.604
2014 Song Z, Jiang Y, Zhang Z. Short-term wind speed forecasting with Markov-switching model Applied Energy. 130: 103-112. DOI: 10.1016/J.Apenergy.2014.05.026  0.647
2014 Long H, Zhang Z, Su Y. Analysis of daily solar power prediction with data-driven approaches Applied Energy. 126: 29-37. DOI: 10.1016/J.Apenergy.2014.03.084  0.463
2013 Verma A, Zhang Z, Kusiak A. Modeling and Prediction of Gearbox Faults With Data-Mining Algorithms Journal of Solar Energy Engineering. 135. DOI: 10.1115/1.4023516  0.734
2013 Kusiak A, Zhang Z, Xu G. Minimization of Wind Farm Operational Cost Based on Data-Driven Models Ieee Transactions On Sustainable Energy. 4: 756-764. DOI: 10.1109/Tste.2013.2246590  0.673
2013 Kusiak A, Zeng Y, Zhang Z. Modeling and analysis of pumps in a wastewater treatment plant: A data-mining approach Engineering Applications of Artificial Intelligence. 26: 1643-1651. DOI: 10.1016/J.Engappai.2013.04.001  0.601
2013 Kusiak A, Zhang Z, Verma A. Prediction, operations, and condition monitoring in wind energy Energy. 60: 1-12. DOI: 10.1016/J.Energy.2013.07.051  0.744
2013 Zhang Z, Kusiak A, Song Z. Scheduling electric power production at a wind farm European Journal of Operational Research. 224: 227-238. DOI: 10.1016/J.Ejor.2012.07.043  0.725
2012 Zhang Z, Kusiak A. Monitoring wind turbine vibration based on SCADA data Journal of Solar Energy Engineering, Transactions of the Asme. 134. DOI: 10.1115/1.4005753  0.666
2012 Zhang Z, Verma A, Kusiak A. Fault Analysis and Condition Monitoring of the Wind Turbine Gearbox Ieee Transactions On Energy Conversion. 27: 526-535. DOI: 10.1109/Tec.2012.2189887  0.719
2012 Kusiak A, Zhang Z. Control of wind turbine power and vibration with a data-driven approach Renewable Energy. 43: 73-82. DOI: 10.1016/J.Renene.2011.11.024  0.68
2012 Zhang Z, Zeng Y, Kusiak A. Minimizing pump energy in a wastewater processing plant Energy. 47: 505-514. DOI: 10.1016/J.Energy.2012.08.048  0.6
2011 Kusiak A, Zhang Z. Adaptive control of a wind turbine with data mining and swarm intelligence Ieee Transactions On Sustainable Energy. 2: 28-36. DOI: 10.1109/Tste.2010.2072967  0.671
2011 Zhang Z, Kusiak A. Models for optimization of energy consumption of pumps in a wastewater processing plant Journal of Energy Engineering. 137: 159-168. DOI: 10.1061/(Asce)Ey.1943-7897.0000051  0.599
2011 Kusiak A, Zheng H, Zhang Z. Virtual Wind Speed Sensor for Wind Turbines Journal of Energy Engineering. 137: 59-69. DOI: 10.1061/(Asce)Ey.1943-7897.0000035  0.651
2010 Kusiak A, Zhang Z. Analysis of wind turbine vibrations based on SCADA data Journal of Solar Energy Engineering, Transactions of the Asme. 132: 0310081-03100812. DOI: 10.1115/1.4001461  0.643
2010 Kusiak A, Zhang Z, Li M. Optimization of Wind Turbine Performance With Data-Driven Models Ieee Transactions On Sustainable Energy. 1: 66-76. DOI: 10.1109/Tste.2010.2046919  0.679
2010 Kusiak A, Zhang Z. Short-horizon prediction of wind power: A data-driven approach Ieee Transactions On Energy Conversion. 25: 1112-1122. DOI: 10.1109/Tec.2010.2043436  0.669
2010 Kusiak A, Li M, Zhang Z. A data-driven approach for steam load prediction in buildings Applied Energy. 87: 925-933. DOI: 10.1016/J.Apenergy.2009.09.004  0.621
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