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Pregled bibliografske jedinice broj: 1254286

Estimation of average wind speed in the city of Tianguá using Artificial Neural Network


Ferreira, Arilson F. G.; de Aragao, Anderson P.; de L. Veras, Necio; Rabelo, Ricardo A. L.; Solic, Petar
Estimation of average wind speed in the city of Tianguá using Artificial Neural Network // 2021 6th International Conference on Smart and Sustainable Technologies (SpliTech)
Split, Hrvatska: Institute of Electrical and Electronics Engineers (IEEE), 2021. str. 1-6 doi:10.23919/splitech52315.2021.9566402 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Estimation of average wind speed in the city of Tianguá using Artificial Neural Network

Autori
Ferreira, Arilson F. G. ; de Aragao, Anderson P. ; de L. Veras, Necio ; Rabelo, Ricardo A. L. ; Solic, Petar

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
2021 6th International Conference on Smart and Sustainable Technologies (SpliTech) / - : Institute of Electrical and Electronics Engineers (IEEE), 2021, 1-6

Skup
6th International Conference on Smart and Sustainable Technologies (SpliTech 2021)

Mjesto i datum
Split, Hrvatska, 08.09.2021. - 11.09.2021

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Artificial Neural Networks, Multilayer Perceptron, Wind Forecast, Time-Lagged Feedforward Neural Network

Sažetak
This paper presents an Artificial Neural Network (ANN) with Time-Lagged Feedforward Network (TLFN) applied in daily wind speed forecasting. In particular, we used a multilayer perceptron (MLP) with a backpropagation algorithm and the sigmoidal activation function. Wind forecasting is relevant to aid the installation and function of wind farms and agricultural meteorology. We experimented with several MLPs topologies by varying the number of neurons and the number of layers in the ANN and collected wind speed data from a weather station at the Federal Institute of Education, Science and Technology of Ceara (IFCE), Campus Tiangu ´ a (Brazil). The data is included ´ among the years 2014 and 2018. We evaluated each topology according to a Mean Squared Error (MSE), Mean Absolute Percentage Error (MAPE), Mean Absolute Deviation (MAD), and the Coefficient of Determination (R²). The results obtained showed the possibility of applying Artificial Neural Networks in daily wind speed forecasting.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Projekti:
UIP-2017-05-4206 - Internet stvari: istraživanja i primjene (IoTRA) (Šolić, Petar, HRZZ - 2017-05) ( CroRIS)

Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Profili:

Avatar Url Petar Šolić (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Ferreira, Arilson F. G.; de Aragao, Anderson P.; de L. Veras, Necio; Rabelo, Ricardo A. L.; Solic, Petar
Estimation of average wind speed in the city of Tianguá using Artificial Neural Network // 2021 6th International Conference on Smart and Sustainable Technologies (SpliTech)
Split, Hrvatska: Institute of Electrical and Electronics Engineers (IEEE), 2021. str. 1-6 doi:10.23919/splitech52315.2021.9566402 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Ferreira, A., de Aragao, A., de L. Veras, N., Rabelo, R. & Solic, P. (2021) Estimation of average wind speed in the city of Tianguá using Artificial Neural Network. U: 2021 6th International Conference on Smart and Sustainable Technologies (SpliTech) doi:10.23919/splitech52315.2021.9566402.
@article{article, author = {Ferreira, Arilson F. G. and de Aragao, Anderson P. and de L. Veras, Necio and Rabelo, Ricardo A. L. and Solic, Petar}, year = {2021}, pages = {1-6}, DOI = {10.23919/splitech52315.2021.9566402}, keywords = {Artificial Neural Networks, Multilayer Perceptron, Wind Forecast, Time-Lagged Feedforward Neural Network}, doi = {10.23919/splitech52315.2021.9566402}, title = {Estimation of average wind speed in the city of Tiangu\'{a} using Artificial Neural Network}, keyword = {Artificial Neural Networks, Multilayer Perceptron, Wind Forecast, Time-Lagged Feedforward Neural Network}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Split, Hrvatska} }
@article{article, author = {Ferreira, Arilson F. G. and de Aragao, Anderson P. and de L. Veras, Necio and Rabelo, Ricardo A. L. and Solic, Petar}, year = {2021}, pages = {1-6}, DOI = {10.23919/splitech52315.2021.9566402}, keywords = {Artificial Neural Networks, Multilayer Perceptron, Wind Forecast, Time-Lagged Feedforward Neural Network}, doi = {10.23919/splitech52315.2021.9566402}, title = {Estimation of average wind speed in the city of Tiangu\'{a} using Artificial Neural Network}, keyword = {Artificial Neural Networks, Multilayer Perceptron, Wind Forecast, Time-Lagged Feedforward Neural Network}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Split, Hrvatska} }

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