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For: Zhou W, Wang P, Heidari AA, Zhao X, Turabieh H, Chen H. Random learning gradient based optimization for efficient design of photovoltaic models. Energy Conversion and Management 2021;230:113751. [DOI: 10.1016/j.enconman.2020.113751] [Cited by in Crossref: 25] [Cited by in F6Publishing: 27] [Article Influence: 12.5] [Reference Citation Analysis]
Number Citing Articles
1 El‐dabah MA, El‐sehiemy RA, Hasanien HM, Saad B. Photovoltaic model parameters identification using an innovative optimization algorithm. IET Renewable Power Gen 2023. [DOI: 10.1049/rpg2.12712] [Reference Citation Analysis]
2 Altbawi SMA, Khalid SBA, Mokhtar ASB, Shareef H, Husain N, Yahya A, Haider SA, Moin L, Alsisi RH. An Improved Gradient-Based Optimization Algorithm for Solving Complex Optimization Problems. Processes 2023;11:498. [DOI: 10.3390/pr11020498] [Reference Citation Analysis]
3 Song J, Kim T, You D. Particle swarm optimization of a wind farm layout with active control of turbine yaws. Renewable Energy 2023. [DOI: 10.1016/j.renene.2023.02.058] [Reference Citation Analysis]
4 Ewees AA. Solving Optimization Problems Using an Extended Gradient-Based Optimizer. Mathematics 2023;11:378. [DOI: 10.3390/math11020378] [Reference Citation Analysis]
5 Ragb O, Bakr H. A new technique for estimation of photovoltaic system and tracking power peaks of PV array under partial shading. Energy 2023. [DOI: 10.1016/j.energy.2023.126680] [Reference Citation Analysis]
6 Daoud MS, Shehab M, Al-Mimi HM, Abualigah L, Zitar RA, Shambour MKY. Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications. Arch Comput Methods Eng 2022;:1-19. [PMID: 36597494 DOI: 10.1007/s11831-022-09872-y] [Reference Citation Analysis]
7 Soliman MA, Hasanien HM, Turky RA, Muyeen S. Hybrid African vultures–grey wolf optimizer approach for electrical parameters extraction of solar panel models. Energy Reports 2022;8:14888-14900. [DOI: 10.1016/j.egyr.2022.10.401] [Reference Citation Analysis]
8 Bogar E. Chaos Game Optimization-Least Squares Algorithm for Photovoltaic Parameter Estimation. Arab J Sci Eng. [DOI: 10.1007/s13369-022-07364-6] [Reference Citation Analysis]
9 Changmai P, Deka S, Kumar S, Babu TS, Aljafari B, Nastasi B. A Critical Review on the Estimation Techniques of the Solar PV Cell’s Unknown Parameters. Energies 2022;15:7212. [DOI: 10.3390/en15197212] [Reference Citation Analysis]
10 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]
11 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]
12 Zhou W, Wang P, Asghar Heidari A, Zhao X, Chen H. Spiral Gaussian Mutation Sine Cosine Algorithm: Framework and Comprehensive Performance Optimization. Expert Systems with Applications 2022. [DOI: 10.1016/j.eswa.2022.118372] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
13 Zhang L, Fu Y, Wei Y, Chen H, Xia C, Cai Z. Predicting Entrepreneurial Intention of Students: Kernel Extreme Learning Machine with Boosted Crow Search Algorithm. Applied Sciences 2022;12:6907. [DOI: 10.3390/app12146907] [Reference Citation Analysis]
14 Khelifa MA, Lekouaghet B, Boukabou A. Symmetric chaotic gradient-based optimizer algorithm for efficient estimation of PV parameters. Optik 2022;259:168873. [DOI: 10.1016/j.ijleo.2022.168873] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
15 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]
16 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]
17 Premkumar M, Jangir P, Kumar C, Sundarsingh Jebaseelan SDT, Alhelou HH, Madurai Elavarasan R, Chen H. Constraint estimation in three‐diode solar photovoltaic model using Gaussian and Cauchy mutation‐based hunger games search optimizer and enhanced Newton–Raphson method. IET Renewable Power Gen. [DOI: 10.1049/rpg2.12475] [Cited by in Crossref: 1] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
18 Bao H, Liang G, Cai Z, Chen H. Random Replacement Crisscross Butterfly Optimization Algorithm for Standard Evaluation of Overseas Chinese Associations. Electronics 2022;11:1080. [DOI: 10.3390/electronics11071080] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
19 Yu S, Chen Z, Heidari AA, Zhou W, Chen H, Xiao L. Parameter identification of photovoltaic models using a sine cosine differential gradient based optimizer. IET Renewable Power Gen. [DOI: 10.1049/rpg2.12451] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
20 Ridha HM, Hizam H, Mirjalili S, Othman ML, Ya'acob ME, Ahmadipour M, Ismaeel NQ. On the problem formulation for parameter extraction of the photovoltaic model: Novel integration of hybrid evolutionary algorithm and Levenberg Marquardt based on adaptive damping parameter formula. Energy Conversion and Management 2022;256:115403. [DOI: 10.1016/j.enconman.2022.115403] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
21 Song S, Wang P, Heidari AA, Zhao X, Chen H. Adaptive Harris hawks optimization with persistent trigonometric differences for photovoltaic model parameter extraction. Engineering Applications of Artificial Intelligence 2022;109:104608. [DOI: 10.1016/j.engappai.2021.104608] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 14.0] [Reference Citation Analysis]
22 Rai R, Das A, Dhal KG. Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review. Evolving Systems. [DOI: 10.1007/s12530-022-09425-5] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
23 Yu S, Heidari AA, Liang G, Chen C, Chen H, Shao Q. Solar photovoltaic model parameter estimation based on orthogonally-adapted gradient-based optimization. Optik 2022;252:168513. [DOI: 10.1016/j.ijleo.2021.168513] [Cited by in Crossref: 8] [Cited by in F6Publishing: 4] [Article Influence: 8.0] [Reference Citation Analysis]
24 Haddad S, Lekouaghet B, Benghanem M, Soukkou A, Rabhi A. Parameter Estimation of Solar Modules Operating Under Outdoor Operational Conditions Using Artificial Hummingbird Algorithm. IEEE Access 2022;10:51299-314. [DOI: 10.1109/access.2022.3174222] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
25 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]
26 Hajabdollahi Z, Shafiey Dehaj M, Fu P. Multi-objective teaching-learning-based optimization of combined commercial fuel cells for electricity production. Journal of Building Engineering 2021;44:102643. [DOI: 10.1016/j.jobe.2021.102643] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
27 Rizk-allah RM, El-fergany AA. Emended heap-based optimizer for characterizing performance of industrial solar generating units using triple-diode model. Energy 2021;237:121561. [DOI: 10.1016/j.energy.2021.121561] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 4.5] [Reference Citation Analysis]
28 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]
29 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]
30 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]
31 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]
32 Qiao Z, Shan W, Jiang N, Heidari AA, Chen H, Teng Y, Turabieh H, Mafarja M. Gaussian bare‐bones gradient‐based optimization: Towards mitigating the performance concerns. Int J of Intelligent Sys 2022;37:3193-254. [DOI: 10.1002/int.22658] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
33 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]
34 Sharma A, Sharma A, Dasgotra A, Jately V, Ram M, Rajput S, Averbukh M, Azzopardi B. Opposition-Based Tunicate Swarm Algorithm for Parameter Optimization of Solar Cells. IEEE Access 2021;9:125590-602. [DOI: 10.1109/access.2021.3110849] [Cited by in Crossref: 13] [Cited by in F6Publishing: 16] [Article Influence: 6.5] [Reference Citation Analysis]