Zijun Zhang, Ph.D.
Affiliations: | 2012 | Industrial Engineering | University of Iowa, Iowa City, IA |
Area:
Industrial Engineering, Alternative EnergyGoogle:
"Zijun Zhang"Parents
Sign in to add mentor| Andrew Kusiak | grad student | 2012 | University of Iowa | |
| (Performance optimization of wind turbines.) | ||||
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Publications
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| Wang L, Song Z, Zhang Z, et al. (2023) Editorial: Engineering applications of neurocomputing, volume II. Frontiers in Neurorobotics. 17: 1306042 |
| Zheng Z, Zhang Z. (2023) A Stochastic Recurrent Encoder Decoder Network for Multistep Probabilistic Wind Power Predictions. Ieee Transactions On Neural Networks and Learning Systems |
| Wang L, Song Z, Zhang Z, et al. (2022) Editorial: Engineering Applications of Neurocomputing. Frontiers in Neurorobotics. 16: 839505 |
| Huang C, Wang L, Zhang Z, et al. (2020) A Novel Spline Model Guided Maximum Power Point Tracking Method for Photovoltaic Systems Ieee Transactions On Sustainable Energy. 11: 1309-1322 |
| Cao Z, Wan C, Zhang Z, et al. (2020) Hybrid Ensemble Deep Learning for Deterministic and Probabilistic Low-Voltage Load Forecasting Ieee Transactions On Power Systems. 35: 1881-1897 |
| Huang C, Zhao Z, Wang L, et al. (2020) Point and interval forecasting of solar irradiance with an active Gaussian process Iet Renewable Power Generation. 14: 1020-1030 |
| Liu X, Zhang Z, Song Z. (2020) 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 |
| Zhu J, Shen Y, Song Z, et al. (2019) Data-driven building load profiling and energy management Sustainable Cities and Society. 49: 101587 |
| Tang Z, Zhang Z. (2019) The multi-objective optimization of combustion system operations based on deep data-driven models Energy. 182: 37-47 |
| Huang C, Wang L, Yeung RS, et al. (2018) A Prediction Model-Guided Jaya Algorithm for the PV System Maximum Power Point Tracking Ieee Transactions On Sustainable Energy. 9: 45-55 |