An Adaptive Machine Learning Framework for Behind-the-Meter Load/PV Disaggregation
IEEE Transactions on Industrial Informatics(2021)
摘要
A significant amount of distributed photovoltaic (PV) generation is “invisible” to distribution system operators since it is behind the meter on customer premises and not directly monitored by the utility. The generation essentially adds an unknown varying negative demand to the system, which causes additional uncertainty in determining the total load. This uncertainty directly impacts system reli...
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关键词
Load modeling,Meteorology,Data models,Machine learning,Adaptation models,Predictive models,Smart meters
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