Hyperparameter Optimization of Bayesian Neural Network Using Bayesian Optimization and Intelligent Feature Engineering for Load Forecasting

Hyperparameter Optimization of Bayesian Neural Network Using Bayesian Optimization and Intelligent Feature Engineering for Load Forecasting

This paper proposes a new hybrid framework for short-term load forecasting (STLF) by combining the Feature Engineering (FE) and Bayesian Optimization (BO) algorithms with a Bayesian Neural Network (BNN). The FE module comprises feature selection and extraction phases. Firstly, by merging the Random...

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Bibliographic Details
Main Authors: M. Zulfiqar, Kelum A. A. Gamage, M. Kamran, M. B. Rasheed
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
Bayesian Neural Networks
Bayesian Optimization
convergence rate
Hamilton dynamic
electric load forecasting
Online Access:https://www.mdpi.com/1424-8220/22/12/4446

Internet

https://www.mdpi.com/1424-8220/22/12/4446

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