Comparative Analysis of Peak Current Prediction based on Random Forest and MLP Neural Network Algorithms

• Main Authors: Bhoyar P., Rahman M.S.A., Irfan S.A., Amirulddin U.A.U.
• Other Authors: 58522765200
• Format: Conference Paper
• Published: Institute of Electrical and Electronics Engineers Inc. 2024
• Subjects: artificial intelligence; deep learning; hybrid optimization; Lightning nowcasting; Computational efficiency; Deep learning; Forecasting; Learning systems; Comparative analyzes; Fault analysis; Hybrid optimization; Learning models; Nowcasting; Peak currents; Prediction-based; Random forests; Lightning
• Institution: Universiti Tenaga Nasional

Lightning events have significant impacts on power systems, infrastructure, and the environment. Accurate and timely nowcasting of lightning occurrences is crucial for effective fault analysis and mitigation. This paper presents the development of a hybrid optimization-based deep learning model for...