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

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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التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Bhoyar P., Rahman M.S.A., Irfan S.A., Amirulddin U.A.U.
مؤلفون آخرون:	58522765200
التنسيق:	Conference Paper
منشور في:	Institute of Electrical and Electronics Engineers Inc. 2024
الموضوعات:	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
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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

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