| 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 | 339 | 2017 |
| A data-driven approach for steam load prediction in buildings A Kusiak, M Li, Z Zhang Applied Energy 87 (3), 925-933, 2010 | 264 | 2010 |
| 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 | 258 | 2017 |
| 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 | 230 | 2018 |
| Prediction, operations, and condition monitoring in wind energy A Kusiak, Z Zhang, A Verma Energy 60, 1-12, 2013 | 227 | 2013 |
| 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 | 223 | 2018 |
| 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 | 207 | 2017 |
| 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 | 189 | 2012 |
| Short-horizon prediction of wind power: A data-driven approach A Kusiak, Z Zhang IEEE Transactions on Energy Conversion 25 (4), 1112-1122, 2010 | 173 | 2010 |
| Analysis of daily solar power prediction with data-driven approaches H Long, Z Zhang, Y Su Applied Energy 126, 29-37, 2014 | 170 | 2014 |
| 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 | 162 | 2018 |
| 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 | 148 | 2021 |
| Short-term Wind Speed Forecasting with Markov-switching Model Z Song, Y Jiang, Z Zhang Applied Energy 130, 103-112, 2014 | 129 | 2014 |
| 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 | 128 | 2018 |
| 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 | 116 | 2015 |
| 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 | 109 | 2014 |
| 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 | 104 | 2020 |
| 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 | 95 | 2016 |
| 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 | 95 | 2015 |
| Minimizing pump energy in a wastewater processing plant Z Zhang, Y Zeng, A Kusiak Energy 47 (1), 505-514, 2012 | 95 | 2012 |
Andrew KusiakProfessor of Industrial and Systems Engineering, University of Iowa在 uiowa.edu 的电子邮件经过验证
