An automated classification method of thunderstorm and non-thunderstorm wind data based on a convolutional neural network

G Chen, FT Lombardo - Journal of Wind Engineering and Industrial …, 2020 - Elsevier
Historical wind data analysis is a key part of estimating design wind loads. Current design
standards do not separately consider the wind loading effects by different wind hazard types …

Soft computing and data mining techniques for thunderstorms and lightning prediction: a survey

K Bala, DK Choubey, S Paul - 2017 international conference of …, 2017 - ieeexplore.ieee.org
Thunderstorms are fascinating and elegant event, which occurred frequently all over the
world. When sudden rumbling of sound associated with a bolt of lightning flashed across the …

Classification techniques for thunderstorms and lightning prediction: A survey

K Bala, DK Choubey, S Paul… - Soft-Computing-Based …, 2018 - igi-global.com
Environmental disasters affect the economy, biodiversity, human life, and living organisms.
Thunderstorms are one of such environmental disaster. By using proper methodology of …

Relationship between TTI and Various Thunderstorm Related Parameters over Kerala, India

N Umakanth, R Biswasharma, R Gogineni… - Pure and Applied …, 2024 - Springer
This study mainly focuses on the relationship between Total Totals index (TTI) and other
thunderstorm related parameters over Kerala region, India. This study has been carried out …

Lightning forecasting modelling using artificial neural network (ANN): case study Sultan Abdul Aziz Shah Airport or Skypark Subang

NH Abdullah, R Adnan, FA Ruslan - 2018 IEEE Conference on …, 2018 - ieeexplore.ieee.org
Lightning is one of extreme weather phenomenon in Malaysia. It is because Malaysia has
high lightning and thunderstorm occurrences in yearly basis. In aviation industry, weather …

Spectral analysis of wind and temperature components during lightning in pre-monsoon season over Ranchi

AK Dwivedi, S Chandra, M Kumar, S Kumar… - Meteorology and …, 2015 - Springer
In this paper, the variations in the surface layer flux parameters as well as spectral
parameters in the Atmospheric Surface Layer (ASL) during lightning period have been …

Pre-estimation of distance-based lightning using effective meteorological parameters

Ş Yücelbaş, A Erduman, C Yücelbaş… - Arabian Journal for …, 2021 - Springer
Lightning can be described as a high voltage electrical discharge event that occurs between
the cloud and the ground. The development of a warning system that enables us to predict …

Impact of convection and stability parameters on lightning activity over Andhra Pradesh, India

N Umakanth, GC Satyanarayana, B Simon, P Kumar… - Acta Geophysica, 2020 - Springer
This paper brings out the interconnection of flash rate density (FRD) with convection and
stability parameters over Andhra Pradesh (AP), India. The convection parameters include …

Lightning prediction using satellite atmospheric sounding data and feed-forward artificial neural network

ER Alves, C Tavares da Costa Jr… - Journal of Intelligent …, 2017 - content.iospress.com
Atmospheric discharges offer great risks to the population and activities that involve different
systems such as telecommunications, energy distribution and transportation. Lightning …

Classification of Faults Due to Transient Overvoltage Source Using Artificial Neural Network

NS Shapiyan, NF Ab Aziz, ZM Yasin… - 2021 IEEE 12th …, 2021 - ieeexplore.ieee.org
Fault is a common problem in power system and classifying the cause would be helpful to
minimize the risk of permanent damage to the equipment and increase the quality of the …