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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Detalles Bibliográficos
Autores principales: Zulfiqar, M., Gamage, Kelum A. A., Kamran, M., Rasheed, M. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9231108/
https://www.ncbi.nlm.nih.gov/pubmed/35746227
http://dx.doi.org/10.3390/s22124446

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9231108/
https://www.ncbi.nlm.nih.gov/pubmed/35746227
http://dx.doi.org/10.3390/s22124446

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