Parameters identification of photovoltaic models using self-adaptive teaching-learning-based optimization

K Yu, X Chen, X Wang, Z Wang - Energy Conversion and Management, 2017 - Elsevier
Parameters identification of photovoltaic (PV) model based on measured current-voltage
characteristic curves plays an important role in the simulation and evaluation of PV systems …
被引用次数：245 相关文章

Parameters identification of photovoltaic models using self-adaptive teaching-learning-based optimization

K Yu, X Chen, X Wang, Z Wang - Energy Conversion and …, 2017 - ui.adsabs.harvard.edu
Parameters identification of photovoltaic (PV) model based on measured current-voltage
characteristic curves plays an important role in the simulation and evaluation of PV systems …

Parameters identification of photovoltaic models using self-adaptive teaching-learning-based optimization

K Yu, X Chen, X Wang, Z Wang - Energy Conversion and Management, 2017 - inis.iaea.org
[en] Highlights:• SATLBO is proposed to identify the PV model parameters efficiently.• In
SATLBO, the learners self-adaptively select different learning phases.• An elite learning is …

Parameters identification of photovoltaic models using self-adaptive teaching-learning-based optimization

K Yu, X Chen, X Wang, Z Wang - Energy Conversion and Management, 2017 - infona.pl
Parameters identification of photovoltaic (PV) model based on measured current-voltage
characteristic curves plays an important role in the simulation and evaluation of PV systems …

[引用][C] Parameters identification of photovoltaic models using self-adaptive teaching-learning-based optimization

K Yu, X Chen, X Wang, Z Wang - 2017