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...
Main Authors: | Qiangqiang Cheng, Yiqi Yan, Shichao Liu, Chunsheng Yang, Hicham Chaoui, Mohamad Alzayed |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-12-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/13/24/6489 |
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