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Integration of MPPT algorithms with spacecraft applications: Review, classification and future development outlook. (2024). Zhang, Jiateng ; Li, Peng ; Zhou, Jun ; Xu, Ruidong ; Gao, Zhigang.
In: Energy.
RePEc:eee:energy:v:308:y:2024:i:c:s0360544224027014.

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    RePEc:eee:renene:v:206:y:2023:i:c:p:1326-1335.

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  4. Adaptive Active Disturbance Rejection Control of Solar Tracking Systems with Partially Known Model. (2021). Palomino-Resendiz, Sergio Isai ; Gutierrez-Frias, Oscar Octavio ; Lozada-Castillo, Norma Beatriz ; Flores-Hernandez, Diego Alonso ; Luviano-Juarez, Alberto.
    In: Mathematics.
    RePEc:gam:jmathe:v:9:y:2021:i:22:p:2871-:d:677195.

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  5. Chattering Free Adaptive Sliding Mode Controller for Photovoltaic Panels with Maximum Power Point Tracking. (2020). Arbos, Ramon Vilanova ; Ali, Hina Gohar.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:21:p:5678-:d:437443.

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  6. Model Based Optimisation Algorithm for Maximum Power Point Tracking in Photovoltaic Panels. (2020). ben Aoun, Sondess ; Olteanu, Severus Constantin ; Abbassi, Rabeh ; Dinc, Ingrid ; Jerbi, Houssem ; Hamidi, Faial ; Popescu, Dumitru.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:18:p:4798-:d:413430.

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  7. Parameter estimation for photovoltaic system under normal and partial shading conditions: A survey. (2018). Geethanjali, P ; Kumari, Ashwini P.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:84:y:2018:i:c:p:1-11.

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  8. A techno-commercial review on grid connected photovoltaic system. (2018). Chatterjee, Shantanu ; Kumar, Prashant.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:81:y:2018:i:p2:p:2371-2397.

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  9. Tree-based ensemble methods for predicting PV power generation and their comparison with support vector regression. (2018). Rezgui, Yacine ; Ahmad, Muhammad Waseem ; Mourshed, Monjur.
    In: Energy.
    RePEc:eee:energy:v:164:y:2018:i:c:p:465-474.

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  10. Maximum Power Point Tracking of Photovoltaic Panels by Using Improved Pattern Search Methods. (2017). Serna-Garces, Sergio Ignacio ; Pelaez-Restrepo, Julian ; Villegas-Ceballos, Juan P ; Herrera, Jorge ; Ibeas, Asier ; Tobon, Andres.
    In: Energies.
    RePEc:gam:jeners:v:10:y:2017:i:9:p:1316-:d:110646.

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  11. Identification of relevant input variables for prediction of 1-minute time-step photovoltaic module power using Artificial Neural Network and Multiple Linear Regression Models. (2017). Chandel, S S ; Yadav, Amit Kumar.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:77:y:2017:i:c:p:955-969.

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  12. Application of soft computing methods for grid connected PV system: A technological and status review. (2017). Sukchai, Sukruedee ; Sahoo, Sarat Kumar ; Balamurugan, M.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:75:y:2017:i:c:p:1493-1508.

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  13. A new MPPT scheme based on a novel fuzzy approach. (2017). Mortazavi, S S ; Gh, S ; Razaz, M ; Nabipour, M.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:74:y:2017:i:c:p:1147-1169.

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  14. A reinforcement learning approach for MPPT control method of photovoltaic sources. (2017). Doltsinis, S ; Kofinas, P ; Vouros, G A ; Dounis, A I.
    In: Renewable Energy.
    RePEc:eee:renene:v:108:y:2017:i:c:p:461-473.

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  15. State of the art artificial intelligence-based MPPT techniques for mitigating partial shading effects on PV systems – A review. (2016). Rahmani, R ; Than, Muang A ; Seyedmahmoudian, M ; Soon, Kok T ; Horan, B ; Stojcevski, A ; Mekhilef, S.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:64:y:2016:i:c:p:435-455.

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  16. A hybrid maximum power point tracking for partially shaded photovoltaic systems in the tropics. (2015). Jiang, Lianlian ; Maskell, Douglas L. ; Nayanasiri, D. R. ; Vilathgamuwa, D. M..
    In: Renewable Energy.
    RePEc:eee:renene:v:76:y:2015:i:c:p:53-65.

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  17. ANN based MPPT method for rapidly variable shading conditions. (2015). Rizzo, Santi Agatino ; Scelba, Giacomo.
    In: Applied Energy.
    RePEc:eee:appene:v:145:y:2015:i:c:p:124-132.

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  18. Artificial neural networks for controlling wind–PV power systems: A review. (2014). Cetin, Numan ; Karabacak, Kerim .
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:29:y:2014:i:c:p:804-827.

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  19. MPPT-based artificial intelligence techniques for photovoltaic systems and its implementation into field programmable gate array chips: Review of current status and future perspectives. (2014). Kalogirou, Soteris A. ; Mellit, Adel.
    In: Energy.
    RePEc:eee:energy:v:70:y:2014:i:c:p:1-21.

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  20. Classification and comparison of maximum power point tracking techniques for photovoltaic system: A review. (2013). Jamasb, Shahriar ; Moradi, Mohammad Hassan ; Reisi, Ali Reza .
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:19:y:2013:i:c:p:433-443.

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  21. A fuzzy based method for leveling output power fluctuations of photovoltaic-diesel hybrid power system. (2011). Funabashi, Toshihisa ; Senjyu, Tomonobu ; Datta, Manoj ; Yona, Atsushi.
    In: Renewable Energy.
    RePEc:eee:renene:v:36:y:2011:i:6:p:1693-1703.

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  22. A Method to Use Solar Energy for the Production of Gas from Marine Hydrate-Bearing Sediments: A Case Study on the Shenhu Area. (2010). Yu, Yibing ; Wu, Nengyou ; Zhang, Ling ; Guan, Jinan ; Jiang, Guosheng ; Ning, Fulong ; Tang, Fenglin.
    In: Energies.
    RePEc:gam:jeners:v:3:y:2010:i:12:p:1861-1879:d:10401.

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