Short-term localized weather forecasting by using different artificial neural network algorithm in tropical climate

Noor Zuraidin Mohd-Safar; David Lorater Ndzi; Ioannis Kagalidis; Yanyan Yang; Ammar Zakaria

doi:10.1007/978-3-319-56991-8_35

Short-term localized weather forecasting by using different artificial neural network algorithm in tropical climate

Noor Zuraidin Mohd-Safar, David Lorater Ndzi, Ioannis Kagalidis, Yanyan Yang, Ammar Zakaria

Faculty of Technology

Universiti Malaysia Perlis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

This paper evaluates the performance of localized weather forecasting model using Artificial Neural Network (ANN) with different ANN algorithms in a tropical climate. Three ANN algorithms namely, Levenberg-Marquardt, Bayesian Regularization and Scaled Conjugate Gradient are used in the short-term weather forecasting model. The study focuses on the data from North-West Malaysia (Chuping). Meteorological data such as atmospheric pressure, temperature, dew point, humidity and wind speed are used as input parameters. One hour ahead forecasted results for atmospheric pressure, temperature and humidity were compared and analyzed and they show that ANN with Levenberg-Marquardt algorithm performs best.

Original language	English
Title of host publication	Proceedings of the SAI Intelligent Systems Conference (IntelliSys) 2016
Editors	Yaxin Bi, Supriya Kapoor, Rahul Bhatia
Publisher	Springer
Pages	463-476
Number of pages	14
Volume	2
ISBN (Electronic)	978-3-319-56991-8
ISBN (Print)	978-3-319-56990-1
DOIs	https://doi.org/10.1007/978-3-319-56991-8_35
Publication status	Published - 23 Aug 2017
Event	SAI Intelligent Systems Conference 2016 - London, United Kingdom Duration: 21 Sept 2016 → 22 Sept 2016 http://saiconference.com/IntelliSys2016

Publication series

Name	Lecture Notes in Networks and Systems
Publisher	Springer
Volume	16
ISSN (Print)	2367-3370

Conference

Conference	SAI Intelligent Systems Conference 2016
Abbreviated title	IntelliSys 2016
Country/Territory	United Kingdom
City	London
Period	21/09/16 → 22/09/16
Internet address	http://saiconference.com/IntelliSys2016

Keywords

artificial neural network
hort-term weather forecasting
tropical climate
ANN

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-319-56991-8_35

PURE_Short-Term Localized Weather Forecasting
This is a pre-copyedited version of a contribution published in Bi Y., Kapoor S., Bhatia R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. Published by Springer. The definitive authenticated version is available online via https://doi.org/10.1007/978-3-319-56991-8_35.
Accepted author manuscript (Post-print), 1.49 MB

https://link.springer.com/chapter/10.1007%2F978-3-319-56991-8_35

Cite this

Mohd-Safar, N. Z., Ndzi, D. L., Kagalidis, I., Yang, Y., & Zakaria, A. (2017). Short-term localized weather forecasting by using different artificial neural network algorithm in tropical climate. In Y. Bi, S. Kapoor, & R. Bhatia (Eds.), Proceedings of the SAI Intelligent Systems Conference (IntelliSys) 2016 (Vol. 2, pp. 463-476). (Lecture Notes in Networks and Systems; Vol. 16). Springer. https://doi.org/10.1007/978-3-319-56991-8_35

Mohd-Safar, Noor Zuraidin ; Ndzi, David Lorater ; Kagalidis, Ioannis et al. / Short-term localized weather forecasting by using different artificial neural network algorithm in tropical climate. Proceedings of the SAI Intelligent Systems Conference (IntelliSys) 2016. editor / Yaxin Bi ; Supriya Kapoor ; Rahul Bhatia. Vol. 2 Springer, 2017. pp. 463-476 (Lecture Notes in Networks and Systems).

@inproceedings{dc0ed3747ef6454b84f9c915fee49ccf,

title = "Short-term localized weather forecasting by using different artificial neural network algorithm in tropical climate",

abstract = "This paper evaluates the performance of localized weather forecasting model using Artificial Neural Network (ANN) with different ANN algorithms in a tropical climate. Three ANN algorithms namely, Levenberg-Marquardt, Bayesian Regularization and Scaled Conjugate Gradient are used in the short-term weather forecasting model. The study focuses on the data from North-West Malaysia (Chuping). Meteorological data such as atmospheric pressure, temperature, dew point, humidity and wind speed are used as input parameters. One hour ahead forecasted results for atmospheric pressure, temperature and humidity were compared and analyzed and they show that ANN with Levenberg-Marquardt algorithm performs best.",

keywords = "artificial neural network, hort-term weather forecasting, tropical climate, ANN",

author = "Mohd-Safar, {Noor Zuraidin} and Ndzi, {David Lorater} and Ioannis Kagalidis and Yanyan Yang and Ammar Zakaria",

year = "2017",

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day = "23",

doi = "10.1007/978-3-319-56991-8_35",

language = "English",

isbn = "978-3-319-56990-1",

volume = "2",

series = "Lecture Notes in Networks and Systems",

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pages = "463--476",

editor = "Yaxin Bi and Supriya Kapoor and Rahul Bhatia",

booktitle = "Proceedings of the SAI Intelligent Systems Conference (IntelliSys) 2016",

note = "SAI Intelligent Systems Conference 2016, IntelliSys 2016 ; Conference date: 21-09-2016 Through 22-09-2016",

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Mohd-Safar, NZ, Ndzi, DL , Kagalidis, I , Yang, Y & Zakaria, A 2017, Short-term localized weather forecasting by using different artificial neural network algorithm in tropical climate. in Y Bi, S Kapoor & R Bhatia (eds), Proceedings of the SAI Intelligent Systems Conference (IntelliSys) 2016. vol. 2, Lecture Notes in Networks and Systems, vol. 16, Springer, pp. 463-476, SAI Intelligent Systems Conference 2016, London, United Kingdom, 21/09/16. https://doi.org/10.1007/978-3-319-56991-8_35

Short-term localized weather forecasting by using different artificial neural network algorithm in tropical climate. / Mohd-Safar, Noor Zuraidin; Ndzi, David Lorater ; Kagalidis, Ioannis et al.
Proceedings of the SAI Intelligent Systems Conference (IntelliSys) 2016. ed. / Yaxin Bi; Supriya Kapoor; Rahul Bhatia. Vol. 2 Springer, 2017. p. 463-476 (Lecture Notes in Networks and Systems; Vol. 16).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Short-term localized weather forecasting by using different artificial neural network algorithm in tropical climate

AU - Mohd-Safar, Noor Zuraidin

AU - Ndzi, David Lorater

AU - Kagalidis, Ioannis

AU - Yang, Yanyan

AU - Zakaria, Ammar

PY - 2017/8/23

Y1 - 2017/8/23

N2 - This paper evaluates the performance of localized weather forecasting model using Artificial Neural Network (ANN) with different ANN algorithms in a tropical climate. Three ANN algorithms namely, Levenberg-Marquardt, Bayesian Regularization and Scaled Conjugate Gradient are used in the short-term weather forecasting model. The study focuses on the data from North-West Malaysia (Chuping). Meteorological data such as atmospheric pressure, temperature, dew point, humidity and wind speed are used as input parameters. One hour ahead forecasted results for atmospheric pressure, temperature and humidity were compared and analyzed and they show that ANN with Levenberg-Marquardt algorithm performs best.

AB - This paper evaluates the performance of localized weather forecasting model using Artificial Neural Network (ANN) with different ANN algorithms in a tropical climate. Three ANN algorithms namely, Levenberg-Marquardt, Bayesian Regularization and Scaled Conjugate Gradient are used in the short-term weather forecasting model. The study focuses on the data from North-West Malaysia (Chuping). Meteorological data such as atmospheric pressure, temperature, dew point, humidity and wind speed are used as input parameters. One hour ahead forecasted results for atmospheric pressure, temperature and humidity were compared and analyzed and they show that ANN with Levenberg-Marquardt algorithm performs best.

KW - artificial neural network

KW - hort-term weather forecasting

KW - tropical climate

KW - ANN

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DO - 10.1007/978-3-319-56991-8_35

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EP - 476

BT - Proceedings of the SAI Intelligent Systems Conference (IntelliSys) 2016

A2 - Bi, Yaxin

A2 - Kapoor, Supriya

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PB - Springer

T2 - SAI Intelligent Systems Conference 2016

Y2 - 21 September 2016 through 22 September 2016

ER -

Mohd-Safar NZ, Ndzi DL , Kagalidis I , Yang Y, Zakaria A. Short-term localized weather forecasting by using different artificial neural network algorithm in tropical climate. In Bi Y, Kapoor S, Bhatia R, editors, Proceedings of the SAI Intelligent Systems Conference (IntelliSys) 2016. Vol. 2. Springer. 2017. p. 463-476. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-319-56991-8_35

Short-term localized weather forecasting by using different artificial neural network algorithm in tropical climate

Abstract

Publication series

Conference

Keywords

UN SDGs

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