Investigation of optical, dielectric, and electrical properties of ZnO/cold sprayed Al system and their correlation with photovoltaic performance DOI

S. Maadadi,

M.E.A. Benamar,

Y. Mebdoua

и другие.

Optical and Quantum Electronics, Год журнала: 2025, Номер 57(6)

Опубликована: Май 27, 2025

Язык: Английский

Hydrogen Penetration in Textile Industry: A Hybrid Renewable Energy System, Evolution Programming and Feasibility Analysis DOI
Seyyed Shahabaddin Hosseini Dehshiri, Bahar Firoozabadi

Energy, Год журнала: 2025, Номер unknown, С. 134785 - 134785

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

4

Robust analysis of photovoltaics plants: A framework based on prediction uncertainties by machine learning DOI Creative Commons
Seyyed Shahabaddin Hosseini Dehshiri, Bahar Firoozabadi

Energy Conversion and Management X, Год журнала: 2025, Номер unknown, С. 100912 - 100912

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

A microgrid based on photovoltaic and geo-flash cycles to produce power and hydrogen: A feasibility assessment DOI
Seyyed Shahabaddin Hosseini Dehshiri, Bahar Firoozabadi

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 125, С. 310 - 332

Опубликована: Апрель 10, 2025

Язык: Английский

Процитировано

0

Hybrid Fuzzy–DDPG Approach for Efficient MPPT in Partially Shaded Photovoltaic Panels DOI Creative Commons
Diana Yaziel Ortiz-Muñoz, David Luviano‐Cruz, Luis Pérez-Domínguez

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(9), С. 4869 - 4869

Опубликована: Апрель 27, 2025

Partial shading conditions reduce the efficiency of photovoltaic (PV) systems by introducing multiple local maxima in power–voltage curve, complicating Maximum Power Point Tracking (MPPT). Traditional MPPT methods, such as Perturb and Observe (P&O) Incremental Conductance (IC), frequently converge to maxima, leading suboptimal power extraction. This study proposes a hybrid reinforcement learning-based approach that combines fuzzy techniques with Deep Deterministic Policy Gradient (DDPG) enhance tracking accuracy under partial shading. The method integrates membership functions into actor–critic structure, improving state representation convergence speed. proposed algorithm is evaluated simulated PV environment various scenarios benchmarked against conventional P&O IC methods. Experimental results demonstrate Fuzzy–DDPG outperforms these classical achieving higher 95%, compared 85% for 88% average, while also minimizing steady-state oscillations. Additionally, reduces errors up 7.9% algorithms. These findings indicate combination logic deep learning provides more adaptive efficient solution, ensuring improved energy harvesting dynamically changing conditions.

Язык: Английский

Процитировано

0

Investigation of optical, dielectric, and electrical properties of ZnO/cold sprayed Al system and their correlation with photovoltaic performance DOI

S. Maadadi,

M.E.A. Benamar,

Y. Mebdoua

и другие.

Optical and Quantum Electronics, Год журнала: 2025, Номер 57(6)

Опубликована: Май 27, 2025

Язык: Английский

Процитировано

0