| 1 |
A novel clustering algorithm based on mathematical morphology for wind power generation prediction
Hao Y, Dong L, Liao XZ, Liang J, Wang LJ, Wang B
Renewable Energy, 136, 572, 2019 |
| 2 |
Data and analytics for heating energy consumption of residential buildings: The case of a severe cold climate region of China
Chang C, Zhu N, Yang K, Yang F
Energy and Buildings, 172, 104, 2018 |
| 3 |
Machine learning for creation of generalized lumped parameter tank models of low temperature geothermal reservoir systems
Li Y, Juliusson E, Palsson H, Stefansson H, Valfells A
Geothermics, 70, 62, 2017 |
| 4 |
Vertical co-current two-phase flow regime identification using fuzzy C-means clustering algorithm and ReliefF attribute weighting technique
Pan LM, Zhang MH, Ju P, He H, Ishii M
International Journal of Heat and Mass Transfer, 95, 393, 2016 |
| 5 |
A Fuzzy Clustering Algorithm-Based Dynamic Equivalent Modeling Method for Wind Farm With DFIG
Zou JX, Peng C, Xu HB, Yan Y
IEEE Transactions on Energy Conversion, 30(4), 1329, 2015 |
| 6 |
A distributed parallel alarm management strategy for alarm reduction in chemical plants
Li DW, Hu JH, Wang H, Huang WJ
Journal of Process Control, 34, 117, 2015 |
| 7 |
Modeling and short-term prediction of HVAC system with a clustering algorithm
Tang F, Kusiak A, Wei XP
Energy and Buildings, 82, 310, 2014 |
| 8 |
A new methodology for building energy performance benchmarking: An approach based on intelligent clustering algorithm
Gao XF, Malkawi A
Energy and Buildings, 84, 607, 2014 |
| 9 |
Stator Single-Phase-to-Ground Fault Protection for Bus-connected Powerformers Based on Hierarchical Clustering Algorithm
Wang YY, Zeng XJ, Dong ZY, Xu Y, Yuan J, Huang Y
IEEE Transactions on Energy Conversion, 28(4), 991, 2013 |
| 10 |
Control design for arbitrary complex nonlinear discrete-time systems based on direct NNMRAC strategy
Li SQ, Li JA, Qiu JH, Ji HL, Zhu KJ
Journal of Process Control, 21(1), 103, 2011 |
