A Single-to-Multi Network for Latency-Free Non-Intrusive Load Monitoring
IEEE Transactions on Network Science and Engineering(2022)
摘要
As one of the most important smart grid features, non-intrusive load monitoring (NILM) has become a practical technology for identifying the users’ energy consumption behavior. The conventional studies are usually based on the assumption that only one appliance is active or the signature database of all appliances is already known. Existing deep learning-based algorithms need to train a model for ...
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关键词
Home appliances,Convolution,Databases,Training,Load monitoring,Load modeling,Feature extraction
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