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For: Weng X, Heidari AA, Liang G, Chen H, Ma X, Mafarja M, Turabieh H. Laplacian Nelder-Mead spherical evolution for parameter estimation of photovoltaic models. Energy Conversion and Management 2021;243:114223. [DOI: 10.1016/j.enconman.2021.114223] [Cited by in Crossref: 20] [Cited by in F6Publishing: 18] [Article Influence: 10.0] [Reference Citation Analysis]
Number Citing Articles
1 Yang H, Gao S, Lei Z, Li J, Yu Y, Wang Y. An improved spherical evolution with enhanced exploration capabilities to address wind farm layout optimization problem. Engineering Applications of Artificial Intelligence 2023;123:106198. [DOI: 10.1016/j.engappai.2023.106198] [Reference Citation Analysis]
2 Halima NB, Kolsi H, Halima NB, Oualha A. Energy Management of Electrical Vehicle Charging Station Based on Photovoltaic System. 2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) 2022. [DOI: 10.1109/sta56120.2022.10019200] [Reference Citation Analysis]
3 Xu S, Qiu H. A modified stochastic fractal search algorithm for parameter estimation of solar cells and PV modules. Energy Reports 2022;8:1853-66. [DOI: 10.1016/j.egyr.2022.01.008] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
4 Ćalasan M, Al-dhaifallah M, Ali ZM, Abdel Aleem SHE. Comparative Analysis of Different Iterative Methods for Solving Current–Voltage Characteristics of Double and Triple Diode Models of Solar Cells. Mathematics 2022;10:3082. [DOI: 10.3390/math10173082] [Reference Citation Analysis]
5 Xu B, Heidari AA, Zhang S, Chen H, Shao Q. Extremal Nelder–Mead colony predation algorithm for parameter estimation of solar photovoltaic models. Energy Science & Engineering. [DOI: 10.1002/ese3.1273] [Reference Citation Analysis]
6 Nunes HGG, Morais FAL, Pombo JAN, Mariano SJPS, Calado MRA. Bypass diode effect and photovoltaic parameter estimation under partial shading using a hill climbing neural network algorithm. Front Energy Res 2022;10:837540. [DOI: 10.3389/fenrg.2022.837540] [Reference Citation Analysis]
7 Yu S, Heidari AA, He C, Cai Z, Althobaiti MM, Mansour RF, Liang G, Chen H. Parameter estimation of static solar photovoltaic models using Laplacian Nelder-Mead hunger games search. Solar Energy 2022;242:79-104. [DOI: 10.1016/j.solener.2022.06.046] [Reference Citation Analysis]
8 Kanimozhi G, Kumar H, Satyanarayana N. A novel hybrid approach for the optimization of double‐diode model parameters of solar cell. Intl J of Energy Research. [DOI: 10.1002/er.8180] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Rawa M, Calasan M, Abusorrah A, Alhussainy AA, Al-Turki Y, Ali ZM, Sindi H, Mekhilef S, Aleem SHEA, Bassi H. Single Diode Solar Cells-Improved Model and Exact Current-Voltage Analytical Solution Based on Lambert's W Function. Sensors (Basel) 2022;22:4173. [PMID: 35684794 DOI: 10.3390/s22114173] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
10 Xu B, Heidari AA, Kuang F, Zhang S, Chen H, Cai Z. Quantum Nelder‐Mead Hunger Games Search for optimizing photovoltaic solar cells. Intl J of Energy Research. [DOI: 10.1002/er.8011] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
11 Qais MH, Hasanien HM, Alghuwainem S, Loo K, Elgendy M, Turky RA. Accurate Three-Diode model estimation of Photovoltaic modules using a novel circle search algorithm. Ain Shams Engineering Journal 2022. [DOI: 10.1016/j.asej.2022.101824] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
12 Wang X, Duan Z, Liu L, Li M, An Y, Zhou Y. Multi-Timescale Load Forecast of Large Power Customers Based on Online Data Recovery and Time Series Neural Networks. J CIRCUIT SYST COMP 2022;31:2250088. [DOI: 10.1142/s0218126622500888] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 Lin H, Ahmadianfar I, Amiri Golilarz N, Jamei M, Heidari AA, Kuang F, Zhang S, Chen H. Adaptive slime mould algorithm for optimal design of photovoltaic models. Energy Science & Engineering. [DOI: 10.1002/ese3.1115] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
14 Fan Y, Wang P, Heidari AA, Chen H, Hamzaturabieh, Mafarja M. Random reselection particle swarm optimization for optimal design of solar photovoltaic modules. Energy 2022;239:121865. [DOI: 10.1016/j.energy.2021.121865] [Cited by in Crossref: 28] [Cited by in F6Publishing: 28] [Article Influence: 28.0] [Reference Citation Analysis]
15 Nunes HGG, Portugal JPA, Pombo JAN, Mariano SJPS, Calado MRA. Parameter Estimation of Per-Unit Photovoltaic Models Using Optimization Algorithms: Comparative Study. Handbook of Nature-Inspired Optimization Algorithms: The State of the Art 2022. [DOI: 10.1007/978-3-031-07512-4_6] [Reference Citation Analysis]
16 Yeşilbudak M. Afrika Akbabaları Optimizasyon Algoritması Kullanılarak Fotovoltaik Hücre ve Fotovoltaik Modül Parametrelerinin Çıkarımı. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji 2021. [DOI: 10.29109/gujsc.997972] [Reference Citation Analysis]
17 Weng X, Heidari AA, Liang G, Chen H, Ma X. An evolutionary Nelder–Mead slime mould algorithm with random learning for efficient design of photovoltaic models. Energy Reports 2021;7:8784-804. [DOI: 10.1016/j.egyr.2021.11.019] [Cited by in Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 3.5] [Reference Citation Analysis]
18 Liu Y, Heidari AA, Ye X, Liang G, Chen H, He C. Boosting slime mould algorithm for parameter identification of photovoltaic models. Energy 2021;234:121164. [DOI: 10.1016/j.energy.2021.121164] [Cited by in Crossref: 29] [Cited by in F6Publishing: 32] [Article Influence: 14.5] [Reference Citation Analysis]
19 Ahmadianfar I, Gong W, Heidari AA, Golilarz NA, Samadi-koucheksaraee A, Chen H. Gradient-based optimization with ranking mechanisms for parameter identification of photovoltaic systems. Energy Reports 2021;7:3979-97. [DOI: 10.1016/j.egyr.2021.06.064] [Cited by in Crossref: 22] [Cited by in F6Publishing: 24] [Article Influence: 11.0] [Reference Citation Analysis]
20 Zhou W, Wang P, Heidari AA, Zhao X, Turabieh H, Mafarja M, Chen H. Metaphor-free dynamic spherical evolution for parameter estimation of photovoltaic modules. Energy Reports 2021;7:5175-202. [DOI: 10.1016/j.egyr.2021.07.041] [Cited by in Crossref: 17] [Cited by in F6Publishing: 20] [Article Influence: 8.5] [Reference Citation Analysis]
21 Nicaire NF, Steve PN, Salome NE, Grégroire AO, Riganti-fulginei F. Parameter Estimation of the Photovoltaic System Using Bald Eagle Search (BES) Algorithm. International Journal of Photoenergy 2021;2021:1-20. [DOI: 10.1155/2021/4343203] [Cited by in Crossref: 5] [Cited by in F6Publishing: 8] [Article Influence: 2.5] [Reference Citation Analysis]
22 Wang M, Zhang Q, Chen H, Heidari AA, Mafarja M, Turabieh H. Evaluation of constraint in photovoltaic cells using ensemble multi-strategy shuffled frog leading algorithms. Energy Conversion and Management 2021;244:114484. [DOI: 10.1016/j.enconman.2021.114484] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 9.0] [Reference Citation Analysis]