Lightning Forecasting Using Ann-BP and Radiosonde

Author

Weng, Leong Yeng ; Omar, Jamaludin Bin ; Siah, Yap Keem ; Ahmed, Syed Khaleel ; Abidin, Izham Bin Zainal ; Abdullah, Noradlina

Author_Institution

Coll. of Eng., Univ. Tenaga Nasional, Kajang, Malaysia

fYear

2010

fDate

22-23 June 2010

Firstpage

152

Lastpage

155

Abstract

This paper presents a concept of predicting lightning with the data from radiosonde and a more reliable dataset of lightning occurances from Tenaga Nasionl Berhad Research Sdn Berhad (TNBR). The location of interest in this research is Kuala Lumpur International Airport (KLIA). The engine used for prediction is of a Neural Network Back Propogation type (ANN-BP). The initial results show that the combination of datasets and engine are workable, however the prediction results seem to be more biased towards lightning days as compared to non-lightning days.

Keywords

backpropagation; lightning; lightning protection; neural nets; radiosondes; weather forecasting; ANN-BP; Kuala Lumpur international airport; Tenaga Nasionl Berhad Research; back propogation; lightning forecasting; neural network; radiosonde; Artificial neural networks; Biological neural networks; Clouds; Lightning; Magnetic sensors; Lightning prediction; artificial intelligence; lightning forecasting; neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Cognitive Informatics (ICICCI), 2010 International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4244-6640-5

Electronic_ISBN

978-1-4244-6641-2

Type

conf

DOI

10.1109/ICICCI.2010.83

Filename

5566013