| Teaching–learning–based artificial bee colony for solar photovoltaic parameter estimation X Chen, B Xu, C Mei, Y Ding, K Li Applied energy 212, 1578-1588, 2018 | 357 | 2018 |
| Forecasting building energy consumption using neural networks and hybrid neuro-fuzzy system: A comparative study K Li, H Su, J Chu Energy and Buildings 43 (10), 2893-2899, 2011 | 280 | 2011 |
| Building's electricity consumption prediction using optimized artificial neural networks and principal component analysis K Li, C Hu, G Liu, W Xue Energy and Buildings 108, 106-113, 2015 | 254 | 2015 |
| A hybrid teaching-learning artificial neural network for building electrical energy consumption prediction K Li, X Xie, W Xue, X Dai, X Chen, X Yang Energy and Buildings 174, 323-334, 2018 | 120 | 2018 |
| Self-adaptive differential artificial bee colony algorithm for global optimization problems X Chen, H Tianfield, K Li Swarm and Evolutionary Computation 45, 70-91, 2019 | 81 | 2019 |
| Forecasting building energy consumption with hybrid genetic algorithm-hierarchical adaptive network-based fuzzy inference system K Li, H Su Energy and buildings 42 (11), 2070-2076, 2010 | 81 | 2010 |
| Biogeography-based learning particle swarm optimization for combined heat and power economic dispatch problem X Chen, K Li, B Xu, Z Yang Knowledge-Based Systems 208, 106463, 2020 | 77 | 2020 |
| Multi-objective optimization for energy performance improvement of residential buildings: A comparative study K Li, L Pan, W Xue, H Jiang, H Mao Energies 10 (2), 245, 2017 | 67 | 2017 |
| A fast-POD model for simulation and control of indoor thermal environment of buildings K Li, H Su, J Chu, C Xu Building and Environment 60, 150-157, 2013 | 64 | 2013 |
| Optimization of ventilation system operation in office environment using POD model reduction and genetic algorithm K Li, W Xue, C Xu, H Su Energy and Buildings 67, 34-43, 2013 | 63 | 2013 |
| A state of the art review on the prediction of building energy consumption using data-driven technique and evolutionary algorithms K Li, W Xue, G Tan, AS Denzer Building Services Engineering Research and Technology 41 (1), 108-127, 2020 | 46 | 2020 |
| Monitoring alcohol concentration and residual glucose in solid state fermentation of ethanol using FT-NIR spectroscopy and L1-PLS regression H Jiang, C Mei, K Li, Y Huang, Q Chen Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 204, 73-80, 2018 | 32 | 2018 |
| Building’s hourly electrical load prediction based on data clustering and ensemble learning strategy K Li, J Zhang, X Chen, W Xue Energy and Buildings 261, 111943, 2022 | 27 | 2022 |
| A fast modeling and optimization scheme for greenhouse environmental system using proper orthogonal decomposition and multi-objective genetic algorithm K Li, Z Sha, W Xue, X Chen, H Mao, G Tan Computers and electronics in agriculture 168, 105096, 2020 | 26 | 2020 |
| Application of dynamic Kalman filtering in state estimation of navigation test G Liu, Q Li, W Shi, K Li Chinese Journal of Scientific Instrument 30 (2), 396-400, 2009 | 23 | 2009 |
| Short-term electricity consumption prediction for buildings using data-driven swarm intelligence based ensemble model K Li, J Tian, W Xue, G Tan Energy and Buildings 231, 110558, 2021 | 22 | 2021 |
| Mixed FTS/H∞ control of vehicle active suspensions with shock road disturbance W Xue, K Li, Q Chen, G Liu Vehicle System Dynamics 57 (6), 841-854, 2019 | 22 | 2019 |
| An adaptive ensemble predictive strategy for multiple scale electrical energy usages forecasting J Tian, K Li, W Xue Sustainable Cities and Society 66, 102654, 2021 | 21 | 2021 |
| Correlation analysis and modeling of human thermal sensation with multiple physiological markers: An experimental study K Li, R Yu, Y Liu, J Wang, W Xue Energy and Buildings 278, 112643, 2023 | 16 | 2023 |
| Optimizing the 3D distributed climate inside greenhouses using multi-objective optimization algorithms and computer fluid dynamics K Li, W Xue, H Mao, X Chen, H Jiang, G Tan Energies 12 (15), 2873, 2019 | 16 | 2019 |
