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

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...

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書誌詳細
主要な著者:	Bhoyar P., Rahman M.S.A., Irfan S.A., Amirulddin U.A.U.
その他の著者:	58522765200
フォーマット:	Conference Paper
出版事項:	Institute of Electrical and Electronics Engineers Inc. 2024
主題:	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
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