Matches in SemOpenAlex for { <https://semopenalex.org/work/W3157424490> ?p ?o ?g. }
- W3157424490 endingPage "606" @default.
- W3157424490 startingPage "584" @default.
- W3157424490 abstract "According to the manufacturer’s I-V data, we need to obtain the best parameters for assessing the photovoltaic systems. Although much work has been done in this area, it is still challenging to extract model parameters accurately. An efficient solver called SFLBS is developed to deal with this problem, in which an inheritance mechanism based on crossover and mutation is introduced. Specifically, the memory pool for storing historical population information is designed. During the sub-population evolution, the historical population will cross and mutate with the contemporary population with a certain probability, ultimately inheriting information about the dimensions that perform well. This mechanism ensures the population’s quality during the evolution process and effectively improves the local search ability of traditional SFLA. The proposed SFLBS is applied to extract unknown parameters from the single diode model, double diode model, three diode model, and photovoltaic module model. Based on the experimental results, we found that SFLBS has considerable accuracy in extracting the unknown parameters of the PV system problem, and its convergence speed is satisfactory. Moreover, SFLBS is used to evaluate three commercial PV modules under different irradiance and temperature conditions. The experimental results demonstrate that the performance of SFLBS is outstanding compared to some state-of-the-art competing algorithms. Moreover, SFLBS is still a reliable optimization tool despite the complex external environment. This research is supported by an online service for any question or needs to supplementary materials at https://aliasgharheidari.com." @default.
- W3157424490 created "2021-05-10" @default.
- W3157424490 creator A5015458686 @default.
- W3157424490 creator A5016233269 @default.
- W3157424490 creator A5022597723 @default.
- W3157424490 creator A5023893507 @default.
- W3157424490 creator A5024138459 @default.
- W3157424490 creator A5028441474 @default.
- W3157424490 creator A5042568127 @default.
- W3157424490 creator A5056699985 @default.
- W3157424490 creator A5070313706 @default.
- W3157424490 date "2021-11-01" @default.
- W3157424490 modified "2023-09-27" @default.
- W3157424490 title "Evolutionary shuffled frog leaping with memory pool for parameter optimization" @default.
- W3157424490 cites W1033479598 @default.
- W3157424490 cites W1675841081 @default.
- W3157424490 cites W1966808261 @default.
- W3157424490 cites W1987092188 @default.
- W3157424490 cites W1997654561 @default.
- W3157424490 cites W2008460279 @default.
- W3157424490 cites W2013238386 @default.
- W3157424490 cites W2027514285 @default.
- W3157424490 cites W2038411763 @default.
- W3157424490 cites W2042758380 @default.
- W3157424490 cites W2049073232 @default.
- W3157424490 cites W2051355768 @default.
- W3157424490 cites W2057287521 @default.
- W3157424490 cites W2063308345 @default.
- W3157424490 cites W2091229651 @default.
- W3157424490 cites W2127264444 @default.
- W3157424490 cites W2130952765 @default.
- W3157424490 cites W2131613989 @default.
- W3157424490 cites W2163782779 @default.
- W3157424490 cites W2181646778 @default.
- W3157424490 cites W2232748179 @default.
- W3157424490 cites W2262722845 @default.
- W3157424490 cites W2280338761 @default.
- W3157424490 cites W2336506622 @default.
- W3157424490 cites W2515764746 @default.
- W3157424490 cites W2556180563 @default.
- W3157424490 cites W2569008010 @default.
- W3157424490 cites W2613613071 @default.
- W3157424490 cites W2613771876 @default.
- W3157424490 cites W2626514104 @default.
- W3157424490 cites W2724943948 @default.
- W3157424490 cites W2751472362 @default.
- W3157424490 cites W2754978992 @default.
- W3157424490 cites W2760572903 @default.
- W3157424490 cites W2769056727 @default.
- W3157424490 cites W2771108647 @default.
- W3157424490 cites W2789329162 @default.
- W3157424490 cites W2799550132 @default.
- W3157424490 cites W2805123994 @default.
- W3157424490 cites W2811053917 @default.
- W3157424490 cites W2884104110 @default.
- W3157424490 cites W2885559630 @default.
- W3157424490 cites W2888248957 @default.
- W3157424490 cites W2889706106 @default.
- W3157424490 cites W2890581334 @default.
- W3157424490 cites W2892277620 @default.
- W3157424490 cites W2892289078 @default.
- W3157424490 cites W2894923438 @default.
- W3157424490 cites W2897199500 @default.
- W3157424490 cites W2899250423 @default.
- W3157424490 cites W2899459625 @default.
- W3157424490 cites W2900164475 @default.
- W3157424490 cites W2901376605 @default.
- W3157424490 cites W2901864827 @default.
- W3157424490 cites W2903034862 @default.
- W3157424490 cites W2906400742 @default.
- W3157424490 cites W2911001524 @default.
- W3157424490 cites W2912650418 @default.
- W3157424490 cites W2914256271 @default.
- W3157424490 cites W2919622604 @default.
- W3157424490 cites W2919979744 @default.
- W3157424490 cites W2920472726 @default.
- W3157424490 cites W2921015455 @default.
- W3157424490 cites W2922377757 @default.
- W3157424490 cites W2936227260 @default.
- W3157424490 cites W2937816906 @default.
- W3157424490 cites W2944064728 @default.
- W3157424490 cites W2947525988 @default.
- W3157424490 cites W2951366158 @default.
- W3157424490 cites W2951404122 @default.
- W3157424490 cites W2964829558 @default.
- W3157424490 cites W2966680729 @default.
- W3157424490 cites W2973022519 @default.
- W3157424490 cites W2975878144 @default.
- W3157424490 cites W2984848303 @default.
- W3157424490 cites W2985027497 @default.
- W3157424490 cites W2986266941 @default.
- W3157424490 cites W2987164835 @default.
- W3157424490 cites W2990262659 @default.
- W3157424490 cites W2990471907 @default.
- W3157424490 cites W2990991805 @default.
- W3157424490 cites W2996097017 @default.
- W3157424490 cites W2996538892 @default.
- W3157424490 cites W2996578675 @default.