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

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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Bibliographic Details
Main Authors: Qiangqiang Cheng, Yiqi Yan, Shichao Liu, Chunsheng Yang, Hicham Chaoui, Mohamad Alzayed
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Energies
Subjects:
electricity load prediction
day-ahead scheduling
particle filter
microgrid energy management
Online Access:https://www.mdpi.com/1996-1073/13/24/6489

Internet

https://www.mdpi.com/1996-1073/13/24/6489

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