A Data-Driven Home Energy Scheduling Strategy Under the Uncertainty in Photovoltaic Generations

A Data-Driven Home Energy Scheduling Strategy Under the Uncertainty in Photovoltaic Generations

To address the uncertainty in photovoltaic (PV) outputs for day-ahead home energy scheduling in hourly timescale, a novel stochastic optimization strategy based data-driven method is proposed. Based on available historical PV outputs, the Gaussian mixture model (GMM) algorithm combined with improved...

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Bibliographic Details
Main Authors: Zunsheng Du, Wei Wang, Jianzhong Zhang, Yumin Zhang, Xingming Xu, Jingwen Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Home energy scheduling
stochastic optimization
photovoltaic (PV) outputs
Gaussian mixture model (GMM)
prediction strength of clustering method
Online Access:https://ieeexplore.ieee.org/document/9036874/

Internet

https://ieeexplore.ieee.org/document/9036874/

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