Research on time-series based and similarity search based methods for PV power prediction

The improved accuracy of photovoltaic (PV) power prediction facilitates the stable operation of power systems. The PV power prediction methods based on time-series and similarity search are proposed in this paper. Firstly, the PV power data is categorized based on the volatility of time-series. The...

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Veröffentlicht in:	Energy conversion and management Jg. 308; S. 118391
Hauptverfasser:	Jiang, Meng, Ding, Kun, Chen, Xiang, Cui, Liu, Zhang, Jingwei, Yang, Zenan, Cang, Yi, Cao, Shang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.05.2024
Schlagworte:	administrative management algorithms crayfish energy conversion neural networks Photovoltaic power Power prediction prediction Similarity search solar energy time series analysis Time-series Power prediction Time-series Photovoltaic power Similarity search
ISSN:	0196-8904
Online-Zugang:	Volltext
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