A Framework to Predict Variability Characteristics in Building Load Profiles

The expansion of Advanced Metering Infrastructure (AMI) has provided building operators and researchers detailed information on building energy consumption. The majority of AMI systems, however, record data at relatively low resolutions of 15, 30, or 60 minutes, due to cost, storage and bandwidth li...

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Veröffentlicht in:	IEEE access 2023-01, Vol.11, p.1-1
Hauptverfasser:	Moayedi, Sam, Parker, Andrew, James, Kevin, Cheng, Xiaoyue, Hempel, Michael, Sharif, Hamid, Alahmad, Mahmoud
Format:	Artikel
Sprache:	eng
Schlagworte:	Advanced metering infrastructure Algorithms Building load profile modeling Buildings Cost analysis Data models decomposition DWT Electrical loads Energy consumption Energy resolution High resolution Load matching Load modeling Machine learning Meters Power flow Predictive models regression Regression models Signal resolution Smart grid Statistical analysis variability prediction
Online-Zugang:	Volltext
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