| 1 |
Measurement and key influencing factors of the economic benefits for China's photovoltaic power generation: A LCOE-based hybrid model
Wang YL, Gao MC, Wang JY, Wang S, Liu Y, Zhu JR, Tan ZF
Renewable Energy, 169, 935, 2021 |
| 2 |
Number of maximum power points in photovoltaic arrays during partial shading events by clouds
Lappalainen K, Valkealahti S
Renewable Energy, 152, 812, 2020 |
| 3 |
A hybrid wind-photovoltaic power generation system based on the foldable umbrella mechanism for applications on highways
Qi LF, Zheng P, Wu XP, Duan WJ, Li LB, Zhang ZT
Solar Energy, 208, 368, 2020 |
| 4 |
Sky image-based solar irradiance prediction methodologies using artificial neural networks
Kamadinata JO, Ken TL, Suwa T
Renewable Energy, 134, 837, 2019 |
| 5 |
A high gain cascaded boost converter with reduced voltage stress for PV application
Upadhyay P, Kumar R
Solar Energy, 183, 829, 2019 |
| 6 |
Very short-term maximum Lyapunov exponent forecasting tool for distributed photovoltaic output
Zheng LW, Liu ZK, Shen JN, Wu CX
Applied Energy, 229, 1128, 2018 |
| 7 |
Short-term power prediction for photovoltaic power plants using a hybrid improved Kmeans-GRA-Elman model based on multivariate meteorological factors and historical power datasets
Lin PJ, Peng ZN, Lai YF, Cheng SY, Chen ZC, Wu LJ
Energy Conversion and Management, 177, 704, 2018 |
| 8 |
A novel SMART energy system for using biomass energy effectively
Nakagawa T, Chisaka H, Notoji Y
Renewable Energy, 116, 492, 2018 |
| 9 |
Output power variation of different PV array configurations during irradiance transitions caused by moving clouds
Lappalainen K, Valkealahti S
Applied Energy, 190, 902, 2017 |
| 10 |
The valuation of photovoltaic power generation under carbon market linkage based on real options
Tian LX, Pan JL, Du RJ, Li WC, Zhen ZL, Gao QB
Applied Energy, 201, 354, 2017 |
