Three-layered Feedforward artificial neural network with dropout for short-term prediction of class-differentiated Chl-a based on weekly water-quality observations in a eutrophic agricultural reservoir

Author(s):  
Ren Yamamoto ◽  
Masayoshi Harada ◽  
Kazuaki Hiramatsu ◽  
Toshinori Tabata
Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3493
Author(s):  
Yaser I. Alamin ◽  
Mensah K. Anaty ◽  
José Domingo Álvarez Hervás ◽  
Khalid Bouziane ◽  
Manuel Pérez García ◽  
...  

Concentrator photovoltaic (CPV) is used to obtain cheaper and more stable renewable energy. Methods which predict the energy production of a power system under specific circumstances are highly important to reach the goal of using this system as a part of a bigger one or of making it integrated with the grid. In this paper, the development of a model to predict the energy of a High CPV (HCPV) system using an Artificial Neural Network (ANN) is described. This system is located at the University of Rabat. The performed experiments show a quick prediction with encouraging results for a very short-term prediction horizon, considering the small amount of data available. These conclusions are based on the processes of obtaining the ANN models and detailed discussion of the results, which have been validated using real data.


2021 ◽  
Vol 1738 ◽  
pp. 012066
Author(s):  
Yingjia Wu ◽  
Rong Ling ◽  
Jixian Zhou ◽  
Mengxin Zhang ◽  
Wei Gao

2014 ◽  
Vol 22 (3) ◽  
pp. 576-585 ◽  
Author(s):  
Hossein Tabari ◽  
P. Hosseinzadeh Talaee ◽  
Patrick Willems

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