Zobrazeno 1 - 10
of 451
pro vyhledávání: '"pv power plant"'
Autor:
Bahloul, Mohamed ⁎, Khadem, Shafi
Publikováno v:
In Energy Reports December 2024 12:5110-5115
Refining Long Short-Term Memory Neural Network Input Parameters for Enhanced Solar Power Forecasting
Autor:
Linh Bui Duy, Ninh Nguyen Quang, Binh Doan Van, Eleonora Riva Sanseverino, Quynh Tran Thi Tu, Hang Le Thi Thuy, Sang Le Quang, Thinh Le Cong, Huyen Cu Thi Thanh
Publikováno v:
Energies, Vol 17, Iss 16, p 4174 (2024)
This article presents a research approach to enhancing the quality of short-term power output forecasting models for photovoltaic plants using a Long Short-Term Memory (LSTM) recurrent neural network. Typically, time-related indicators are used as in
Externí odkaz:
https://doaj.org/article/6ffdbaad961f4da8b0b7927ac06da4ca
Autor:
M.M. Shah Porun Rana, Md. Moniruzzaman
Publikováno v:
Next Energy, Vol 3, Iss , Pp 100109- (2024)
The major goal of this research is to adopt analytical hierarchy process (AHP) based geospatial technique to select suitable zone for the solar photovoltaic (PV) power plants. Nine thematic layers altogether—slope, global horizontal irradiation (GH
Externí odkaz:
https://doaj.org/article/1d1906618ac94469926fabd0987e2b2a
Autor:
Javier Iñigo-Labairu, Jürgen Dersch, Tobias Hirsch, Stefano Giuliano, Matthias Loevenich, Diego Córdoba
Publikováno v:
Energies, Vol 17, Iss 11, p 2634 (2024)
Concentrated solar power (CSP)—photovoltaic (PV) hybrid power plants allow for the generation of cheap electrical energy with a high capacity factor (CF). A deep integration of both technologies offers synergies, using parts of the PV generated ele
Externí odkaz:
https://doaj.org/article/b5d8fca2a6d24ea49a4a882633873ee2
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 48, Iss , Pp 101559- (2023)
The effeteness of MPPT algorithms is deteriorated by having more Maximum Power Points (MPPs) on the characteristics of the PV array. The number of MPPs can increase with the different connection types of PV panels and the pattern of partial shading,
Externí odkaz:
https://doaj.org/article/78601c51a4e64f5c96ba928826ce47c0
Autor:
Tekai Eddine Khalil Zidane, Ali Saleh Aziz, Younes Zahraoui, Hossam Kotb, Kareem M. AboRas, Kitmo, Yosef Berhan Jember
Publikováno v:
IEEE Access, Vol 11, Pp 79588-79608 (2023)
Due to photovoltaic (PV) technology advantages as a clean, secure, and pollution-free energy source, PV power plants installation have shown an essential role in the energy sector. Nevertheless, the PV power plant cost of energy must be competitive w
Externí odkaz:
https://doaj.org/article/99df65a4104943b7abf1f753908c97a9
Autor:
Miguel Martínez-Lavín, Raquel Villena-Ruiz, Andrés Honrubia-Escribano, Jesús C. Hernández, Emilio Gómez-Lázaro
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 8589-8604 (2022)
The integration of new renewable power capacity into the grid constitutes an important challenge. Control issues become more complex, and the behavior of the new installations must be carefully assessed. In this sense, countries are establishing stri
Externí odkaz:
https://doaj.org/article/d5a71f7b740d4f199ca8e013f99d06f5
Autor:
Cheng Zhang, Maomao Zhang
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 10976-10990 (2022)
In order to solve the problem of uncertainty of photovoltaic power generation forecast, the prediction accuracy of photovoltaic power station power generation is further improved. In this paper, a wavelet neural network (WNN) based genetic algorithm
Externí odkaz:
https://doaj.org/article/3e3b914a1ee64df18b588bffe27a07cb
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