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A feature fusion technique for improved non-intrusive load monitoring
2020
Energy Informatics
Load identification is an essential step in Non-Intrusive Load Monitoring (NILM), a process of estimating the power consumption of individual appliances using only whole-house aggregate consumption. Such estimates can help consumers and utility companies improve load management and save power. Current state-of-the-art methods for load identification generally use either steady state or transient features for load identification. We hypothesize that these are complementary features and so a
doi:10.1186/s42162-020-00112-w
fatcat:rgltwvbgqrblddsdg44tefpqje