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Sylvain Rodat and Richard Thonig
Solar energy is not only the most abundant energy on earth but it is also renewable. The use of this energy is expanding very rapidly mainly through photovoltaic technology. However, electricity storage remains a bottleneck in tackling solar resource var...
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Ru Li, Siyi Huang and Hongqiang Dou
Large-scale photovoltaic power plants located in highland mountainous areas are vulnerable to landslides due to extreme rainfall, posing a significant threat to the normal operation of photovoltaic power plants. However, limited research has been conduct...
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Seyed Mahdi Miraftabzadeh, Cristian Giovanni Colombo, Michela Longo and Federica Foiadelli
Climate change and global warming drive many governments and scientists to investigate new renewable and green energy sources. Special attention is on solar panel technology, since solar energy is considered one of the primary renewable sources and solar...
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Chun Bao Li and Joonmo Choung
This study deals with a solar photovoltaic demonstration project composed of four types of sub-plants that will be operated in the Saemangeum Seawall coast. The project aimed to investigate the most efficient sub-plant types. Hydrodynamic analyses were u...
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Hyun Jo, Sovetgul Asekova, Mohammad Amin Bayat, Liakat Ali, Jong Tae Song, Yu-Shin Ha, Dong-Hyuck Hong and Jeong-Dong Lee
Renewable energy generation has attracted growing interest globally. The agro-photovoltaic (APV) system is a new alternative to conventional photovoltaic power plants, which can simultaneously generate renewable energy and increase agricultural productiv...
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Alfredo Nespoli, Andrea Matteri, Silvia Pretto, Luca De Ciechi and Emanuele Ogliari
The increasing penetration of Renewable Energy Sources (RESs) in the energy mix is determining an energy scenario characterized by decentralized power production. Between RESs power generation technologies, solar PhotoVoltaic (PV) systems constitute a ve...
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Everton Jose Santana, Ricardo Petri Silva, Bruno Bogaz Zarpelão and Sylvio Barbon Junior
With data collected by Internet of Things sensors, deep learning (DL) models can forecast the generation capacity of photovoltaic (PV) power plants. This functionality is especially relevant for PV power operators and users as PV plants exhibit irregular...
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Marcello La Guardia, Filippo D?Ippolito and Maurizio Cellura
The recent diffusion of RES (Renewable Energy Sources), considering the electric energy produced by photovoltaic and wind plants, brought to light the problem of the unpredictable nature of wind and solar energy. P2G (Power to Gas) implementation seems t...
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Stanislav A. Eroshenko, Alexandra I. Khalyasmaa, Denis A. Snegirev, Valeria V. Dubailova, Alexey M. Romanov and Denis N. Butusov
The paper reports the forecasting model for multiple time-domain photovoltaic power plants, developed in response to the necessity of bad weather days? accurate and robust power generation forecasting. We provide a brief description of the piloted short-...
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Manuel Meneghetti, Aldo Talon, Elti Cattaruzza, Emilio Celotti, Elisabetta Bellantuono, Enrique Rodríguez-Castellón, Stefano Meneghetti and Elisa Moretti
During the last two decades, Dye Sensitized Solar Cells (DSSCs) have received a great deal of attention as a promising, low-cost alternative to conventional silicon photovoltaic devices. Natural dye molecules can be used as a sensitizer for their low cos...
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