Zobrazeno 1 - 10
of 224
pro vyhledávání: '"generation prediction"'
Autor:
Muhammad Shoaib Bhutta, Yang Li, Muhammad Abubakar, Fahad M. Almasoudi, Khaled Saleem S. Alatawi, Mohammad R. Altimania, Maged Al-Barashi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract The fourth energy revolution is characterized by the incorporation of renewable energy supplies into intelligent networks. As the world is shifting towards cleaner energy sources, there is a need for efficient and reliable methods to predict
Externí odkaz:
https://doaj.org/article/44d39fc78dc94d0db4aa358e3b214fb5
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 8, Pp 1556-1569 (2024)
Abstract The rapid expansion of low‐voltage distributed photovoltaic (PV) systems with decentralized layouts poses significant data collection challenges. The scarcity of data amplifies prediction complexities, affecting the operational security an
Externí odkaz:
https://doaj.org/article/324323747fb34fe289979836557fa352
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 158, Iss , Pp 109947- (2024)
Industrial activities are transitioning towards decarbonization, focusing on renewable energy sources, particularly photovoltaic solar energy. However, the inherent high variability of photovoltaic energy poses challenges. Some of them can be partial
Externí odkaz:
https://doaj.org/article/459c48c5bec24fc68081a4b548e768c1
Autor:
Zhifeng Che, A. Amirthasaravanan, Muna Al-Razgan, Emad Mahrous Awwad, Mohamed Yasin Noor Mohamed, Vaibhav Bhushan Tyagi
Publikováno v:
IEEE Access, Vol 12, Pp 44207-44223 (2024)
The different energy resource generation tends to have high-level variation, making the power supply complex for the end-users. Because of the intermittent nature, the variations occur by time, weather conditions, and output energy. Hence, this resea
Externí odkaz:
https://doaj.org/article/8d892844f2914933a30c65a2ee7b9881
Autor:
Hsu-Yung Cheng, Chih-Chang Yu
Publikováno v:
Energies, Vol 17, Iss 13, p 3073 (2024)
For the advancement of smart grids, solar power generation predictions have become an important research topic. In the case of using traditional modeling methods, excessive computational costs may be incurred and it is difficult for these methods to
Externí odkaz:
https://doaj.org/article/793a7dd5b949431889ede93eaef05cb4
Autor:
Hui Song, Nameer Al Khafaf, Ammar Kamoona, Samaneh Sadat Sajjadi, Ali Moradi Amani, Mahdi Jalili, Xinghuo Yu, Peter McTaggart
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 369-376 (2023)
With the increased uptake of renewable energy resources (RES), power generation from Photovoltaics (PV) cells is gaining momentum and heavily depends on environmental and meteorological conditions. Predicting PV power generation plays an important ro
Externí odkaz:
https://doaj.org/article/1451d0ae12a44a02a1b78b133fbf1315
Autor:
Raluca Nelega, Dan Ioan Greu, Eusebiu Jecan, Vasile Rednic, Ciprian Zamfirescu, Emanuel Puschita, Romulus Valeriu Flaviu Turcu
Publikováno v:
IEEE Access, Vol 11, Pp 20713-20724 (2023)
Photovoltaic energy production is an important factor for increasing the electricity supply. The ability to predict the electric power production (EPP) of a photovoltaic (PV) farm supports from the management process of the power grid to the trade in
Externí odkaz:
https://doaj.org/article/63ace21469124e6ca513619b1c4e6ba6
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
Autor:
Harshit Gupta, Piyush Agarwal, Kartik Gupta, Suhana Baliarsingh, O. P. Vyas, Antonio Puliafito
Publikováno v:
Energies, Vol 16, Iss 24, p 8097 (2023)
In the contemporary energy landscape, power generation comprises a blend of renewable and non-renewable resources, with the major supply of electrical energy fulfilled by non-renewable sources, including coal and gas, among others. Renewable energy r
Externí odkaz:
https://doaj.org/article/a1b3a10e7ca0432eb5d023385935b881
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