| 1 |
Pressure prediction of a spark ignition single cylinder engine using optimized extreme learning machine models
Mariani VC, Och SH, Coelho LD, Domingues E
Applied Energy, 249, 204, 2019 |
| 2 |
Optimization of fuzzy-based MPPT controller via metaheuristic techniques for stand-alone PV systems
Farajdadian S, Hosseini SMH
International Journal of Hydrogen Energy, 44(47), 25457, 2019 |
| 3 |
Hybridizing cuckoo search algorithm with biogeography-based optimization for estimating photovoltaic model parameters
Chen X, Yu KJ
Solar Energy, 180, 192, 2019 |
| 4 |
Hybrid biogeography-based optimization with brain storm optimization for non-convex dynamic economic dispatch with valve-point effects
Xiong GJ, Shi DY
Energy, 157, 424, 2018 |
| 5 |
Multi-objective optimization of charging patterns for lithium-ion battery management
Liu KL, Li K, Ma HP, Zhang JH, Peng Q
Energy Conversion and Management, 159, 151, 2018 |
| 6 |
Design, optimization, modeling and testing of a piezoelectric footwear energy harvester
Qian F, Xu TB, Zuo L
Energy Conversion and Management, 171, 1352, 2018 |
| 7 |
Multi-objective biogeography-based optimization for dynamic economic emission load dispatch considering plug-in electric vehicles charging
Ma HP, Yang ZL, You PC, Fei MR
Energy, 135, 101, 2017 |
| 8 |
Automatic generation control of an interconnected two-area hybrid thermal system considering dish-stirling solar thermal and wind turbine system
Rahman A, Saikia LC, Sinha N
Renewable Energy, 105, 41, 2017 |
| 9 |
Wind farm layout using biogeography based optimization
Bansal JC, Farswan P
Renewable Energy, 107, 386, 2017 |
| 10 |
Selection of a suitable energy management strategy for a hybrid energy system in a remote rural area of India
Upadhyay S, Sharma MP
Energy, 94, 352, 2016 |
