| 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 | 266 | 2017 |
| A data-driven approach for steam load prediction in buildings A Kusiak, M Li, Z Zhang Applied Energy 87 (3), 925-933, 2010 | 250 | 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 | 202 | 2017 |
| Prediction, operations, and condition monitoring in wind energy A Kusiak, Z Zhang, A Verma Energy 60, 1-12, 2013 | 201 | 2013 |
| 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 | 192 | 2018 |
| 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 | 190 | 2018 |
| 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 | 176 | 2012 |
| 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 | 168 | 2017 |
| Short-horizon prediction of wind power: A data-driven approach A Kusiak, Z Zhang IEEE Transactions on Energy Conversion 25 (4), 1112-1122, 2010 | 158 | 2010 |
| Analysis of daily solar power prediction with data-driven approaches H Long, Z Zhang, Y Su Applied Energy 126, 29-37, 2014 | 145 | 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 | 120 | 2018 |
| Short-term Wind Speed Forecasting with Markov-switching Model Z Song, Y Jiang, Z Zhang Applied Energy 130, 103-112, 2014 | 115 | 2014 |
| 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 | 104 | 2015 |
| 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 | 88 | 2018 |
| 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 | 87 | 2014 |
| Minimizing pump energy in a wastewater processing plant Z Zhang, Y Zeng, A Kusiak Energy 47 (1), 505-514, 2012 | 81 | 2012 |
| Analysis of wind turbine vibrations based on SCADA data A Kusiak, Z Zhang ASME Journal of Solar Energy Engineering 132 (3), 031008, 2010 | 81 | 2010 |
| 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 | 80 | 2015 |
| Performance Optimization of HVAC Systems with Computational Intelligence Algorithms X He, Z Zhang, A Kusiak Energy and Buildings 81, 371-380, 2014 | 80 | 2014 |
| Optimization of wind turbine performance with data-driven models A Kusiak, Z Zhang, M Li IEEE Transactions on Sustainable Energy 1 (2), 66-76, 2010 | 78 | 2010 |
Andrew KusiakProfessor of Industrial and Systems Engineering, University of IowaVerified email at uiowa.edu
