Abstract
Non-intrusive load monitoring (NILM) is a core technology for demand response (DR) and energy conservation services. Traditional NILM methods are rarely combined with practical applications, and most studies aim to disaggregate the whole loads in a household, which leads to low identification accuracy. In this method, the event detection method is used to obtain the switching event sets of all loads, and the power consumption curves of independent unknown electrical appliances in a period are disaggregated by utilizing comprehensive features. A linear discriminant classifier group based on multi-feature global similarity is used for load identification. The uniqueness of our algorithm is that it designs an event detector based on steady-state segmentation and a linear discriminant classifier group based on multi-feature global similarity. The simulation is carried out on an open source data set. The results demonstrate the effectiveness and high accuracy of the multi-feature integrated classification (MFIC) algorithm by using the state-of-the-art NILM methods as benchmarks.
Highlights
Increased public awareness of energy conservation in recent years motivates electricity consumers to participate in energy management actively [1]
Since different types of appliances have different opportunities and ways to participate in Demand response (DR), it is crucial to study detailed appliance-level power consumption
The mixed signal obtained can be formulated as a linear combination of some unknown appliance power consumption data, which is shown as Equation (1)
Summary
Increased public awareness of energy conservation in recent years motivates electricity consumers to participate in energy management actively [1]. Traditional intrusive load monitoring needs to install lots of sensors to acquire a signal of each appliance. In the process of sensors’ installation and maintenance, the power supply needs to be temporarily interrupted, which causes inconvenience for both the power grid and users. Due to the poor practicability of the intrusive method, Hart proposed the concept of non-intrusive load monitoring (NILM) in the 1980s [3]. Since it has a lower installation cost and impact for users, NILM is more attractive to customers and utilities. The main idea of NILM is disaggregating mixed electrical signals acquired at power entrance to obtain the working status and detailed power consumption information of individual appliances
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