[M-IS26] Atmospheric electricity and application of technology for forecasting and reducing disaster risks

[MIS26-11] Lightning Nowcasting Using Storm Localization and LSTM Models: Optimization of Input Temporal Sequence Length

*Mohd Anif Akhmal Abu Bakar¹, Yuji Takayanagi², Muhammad Haziq Mohammad Sabri², Ting Wu³, Mohd Zafri Baharuddin⁴, Mohd Riduan Ahmad⁵, Takeshi Morimoto² (1. Major in Electronic Engineering, Graduate School of Science and Engineering, Kindai University., 2. Department of Electrical, Electronic and Communication Engineering, Kindai University., 3. Department of Electrical, Electronic and Computer Engineering, Gifu University., 4. Electrical and Electronics Eng. Dept., Institute of Energy Infrastructure (IEI), Universiti Tenaga Nasional., 5. Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer (FTKEK), Centre of Technology for Disaster Risk Reduction (CDR), Universiti Teknikal Malaysia Melaka.)

Keywords:Shorter-term Forecasts, Lightning, Disaster Prevention, Deep Learning, Artificial Intelligence