Particle Filter-Based Electricity Load Prediction for Grid-Connected Microgrid Day-Ahead Scheduling

This paper proposes a particle filter (PF)-based electricity load prediction method to improve the accuracy of the microgrid day-ahead scheduling. While most of the existing prediction methods assume electricity loads follow normal distributions, we consider it is a nonlinear and non-Gaussian proces...

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Autores principales:	Qiangqiang Cheng, Yiqi Yan, Shichao Liu, Chunsheng Yang, Hicham Chaoui, Mohamad Alzayed
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2020-12-01
Colección:	Energies
Materias:	electricity load prediction day-ahead scheduling particle filter microgrid energy management
Acceso en línea:	https://www.mdpi.com/1996-1073/13/24/6489
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