Zhe Song, Ph.D.
Affiliations: | 2008 | University of Iowa, Iowa City, IA |
Area:
Industrial Engineering, Energy, Artificial IntelligenceGoogle:
"Zhe Song"Parents
Sign in to add mentor| Andrew Kusiak | grad student | 2008 | University of Iowa | |
| (Meta-control of combustion performance with a data mining approach.) | ||||
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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 |
| Wang L, Song Z, Zhang Z, et al. (2022) Editorial: Engineering Applications of Neurocomputing. Frontiers in Neurorobotics. 16: 839505 |
| 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 |
| Song Z, Zhang Z, Jiang Y, et al. (2018) Wind turbine health state monitoring based on a Bayesian data-driven approach Renewable Energy. 125: 172-181 |
| Jiang Y, Long H, Zhang Z, et al. (2017) Day-Ahead Prediction of Bihourly Solar Radiance With a Markov Switch Approach Ieee Transactions On Sustainable Energy. 8: 1536-1547 |
| Long H, Zhang Z, Song Z, et al. (2017) Formulation and Analysis of Grid and Coordinate Models for Planning Wind Farm Layouts Ieee Access. 5: 1810-1819 |
| Zhang Z, Song Z. (2016) Mining SCADA Data Offers a New Roadmap of Wind Farm Operations and Management Industrial Engineering & Management. 5 |
| Song Z, Zhang Z, Chen X. (2016) The decision model of 3-dimensional wind farm layout design Renewable Energy. 85: 248-258 |
| Long H, Wang L, Zhang Z, et al. (2015) Data-Driven Wind Turbine Power Generation Performance Monitoring Ieee Transactions On Industrial Electronics. 62: 6627-6635 |