These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
221 related articles for article (PubMed ID: 32719422)
1. Temperature based maximum power point tracking for photovoltaic modules. Ramos-Hernanz J; Uriarte I; Lopez-Guede JM; Fernandez-Gamiz U; Mesanza A; Zulueta E Sci Rep; 2020 Jul; 10(1):12476. PubMed ID: 32719422 [TBL] [Abstract][Full Text] [Related]
2. Maximum Power Point Tracking of Photovoltaic System Based on Reinforcement Learning. Chou KY; Yang ST; Chen AY Sensors (Basel); 2019 Nov; 19(22):. PubMed ID: 31752427 [TBL] [Abstract][Full Text] [Related]
3. Nonlinear robust integral backstepping based MPPT control for stand-alone photovoltaic system. Ali K; Khan Q; Ullah S; Khan I; Khan L PLoS One; 2020; 15(5):e0231749. PubMed ID: 32427990 [TBL] [Abstract][Full Text] [Related]
4. Improved tunicate swarm search-based MPPT for photovoltaic on a "grid-connected" inverter system. Lakshmi GV; Reddy KH Environ Sci Pollut Res Int; 2022 Nov; 29(52):78650-78665. PubMed ID: 35691948 [TBL] [Abstract][Full Text] [Related]
5. Rapidly Determine the Maximum Power Point in the Parallel Configuration of the Photovoltaic System. Hien BV; Anh TV; Linh NT; Khanh PQ Sensors (Basel); 2023 Aug; 23(17):. PubMed ID: 37687959 [TBL] [Abstract][Full Text] [Related]
6. Experimental validation of a low-cost maximum power point tracking technique based on artificial neural network for photovoltaic systems. Abouzeid AF; Eleraky H; Kalas A; Rizk R; Elsakka MM; Refaat A Sci Rep; 2024 Aug; 14(1):18280. PubMed ID: 39112638 [TBL] [Abstract][Full Text] [Related]
7. High-Performance Pure Sine Wave Inverter with Robust Intelligent Sliding Mode Maximum Power Point Tracking for Photovoltaic Applications. Chang EC Micromachines (Basel); 2020 Jun; 11(6):. PubMed ID: 32545319 [TBL] [Abstract][Full Text] [Related]
8. Solar irradiance estimation and optimum power region localization in PV energy systems under partial shaded condition. Harrison A; Alombah NH; de Dieu Nguimfack Ndongmo J Heliyon; 2023 Aug; 9(8):e18434. PubMed ID: 37520983 [TBL] [Abstract][Full Text] [Related]
9. Modeling, control, and simulation of grid connected intelligent hybrid battery/photovoltaic system using new hybrid fuzzy-neural method. Rezvani A; Khalili A; Mazareie A; Gandomkar M ISA Trans; 2016 Jul; 63():448-460. PubMed ID: 26961319 [TBL] [Abstract][Full Text] [Related]
10. RBF neural network based backstepping terminal sliding mode MPPT control technique for PV system. Khan ZA; Khan L; Ahmad S; Mumtaz S; Jafar M; Khan Q PLoS One; 2021; 16(4):e0249705. PubMed ID: 33831094 [TBL] [Abstract][Full Text] [Related]
11. Asymmetrical interval type-2 fuzzy logic control based MPPT tuning for PV system under partial shading condition. Verma P; Garg R; Mahajan P ISA Trans; 2020 May; 100():251-263. PubMed ID: 31955950 [TBL] [Abstract][Full Text] [Related]
12. High performance adaptive maximum power point tracking technique for off-grid photovoltaic systems. Banakhr FA; Mosaad MI Sci Rep; 2021 Oct; 11(1):20400. PubMed ID: 34650159 [TBL] [Abstract][Full Text] [Related]
13. Artificial Neural Networks in MPPT Algorithms for Optimization of Photovoltaic Power Systems: A Review. Villegas-Mier CG; Rodriguez-Resendiz J; Álvarez-Alvarado JM; Rodriguez-Resendiz H; Herrera-Navarro AM; Rodríguez-Abreo O Micromachines (Basel); 2021 Oct; 12(10):. PubMed ID: 34683311 [TBL] [Abstract][Full Text] [Related]
14. Design and implementation of Type-3 intuitionistic fuzzy logic MPPT controller for PV solar system: Comparative study. Hamdy M; Ibrahim A; Abozalam B; Helmy S ISA Trans; 2024 Nov; 154():488-511. PubMed ID: 39341685 [TBL] [Abstract][Full Text] [Related]
15. Real-time implementation of a novel MPPT control based on the improved PSO algorithm using an adaptive factor selection strategy for photovoltaic systems. Ben Regaya C; Hamdi H; Farhani F; Marai A; Zaafouri A; Chaari A ISA Trans; 2024 Mar; 146():496-510. PubMed ID: 38143223 [TBL] [Abstract][Full Text] [Related]
16. Simulation and experimental design of a new advanced variable step size Incremental Conductance MPPT algorithm for PV systems. Loukriz A; Haddadi M; Messalti S ISA Trans; 2016 May; 62():30-8. PubMed ID: 26337741 [TBL] [Abstract][Full Text] [Related]
17. Adaptive robust maximum power point tracking control for perturbed photovoltaic systems with output voltage estimation. Koofigar HR ISA Trans; 2016 Jan; 60():285-293. PubMed ID: 26606851 [TBL] [Abstract][Full Text] [Related]
18. Recursive bit assignment with neural reference adaptive step (RNA) MPPT algorithm for photovoltaic system. Hegazy E; Shokair M; Saad W Sci Rep; 2023 Mar; 13(1):4189. PubMed ID: 36918576 [TBL] [Abstract][Full Text] [Related]
19. Random Forest-Based Approach for Maximum Power Point Tracking of Photovoltaic Systems Operating under Actual Environmental Conditions. Shareef H; Mutlag AH; Mohamed A Comput Intell Neurosci; 2017; 2017():1673864. PubMed ID: 28702051 [TBL] [Abstract][Full Text] [Related]
20. A new wide input voltage DC-DC converter for solar PV systems with hybrid MPPT controller. Kumar SS; Balakrishna K Sci Rep; 2024 May; 14(1):10639. PubMed ID: 38724666 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]