Abstract
Non-Intrusive Load Monitoring (NILM) allows providing appliance-level electricity consumption information and decomposing the overall power consumption by using simple hardware (one sensor) with a suitable software. This paper presents a low-frequency NILM-based monitoring system suitable for a typical house. The proposed solution is a hybrid event-detection approach including an event-detection algorithm for devices with a finite number of states and an auxiliary algorithm for appliances characterized by complex patterns. The system was developed using data collected at households in Italy and tested also with data from BLUED, a widely used dataset of real-world power consumption data. Results show that the proposed approach works well in detecting and classifying what appliance is working and its consumption in complex household load dataset.
Highlights
Knowing how electric appliances are used and how different appliances contribute to the aggregate total consumption could help users to have a better understanding on how the energy is consumed, leading possibly to a more efficient management of their loads
This paper presents a low-frequency NILMbased monitoring system suitable for a typical house
When a Positive sample is incorrectly classified as Negative, it is called a False Negative (FN); when a Negative sample is incorrectly classified as a Positive, it is called
Summary
Knowing how electric appliances are used and how different appliances contribute to the aggregate total consumption could help users to have a better understanding on how the energy is consumed, leading possibly to a more efficient management of their loads. Non-Intrusive Load Monitoring (NILM) is an area of computational sustainability research, and it presently identifies a set of techniques that can disaggregate the power usage into the individual appliances that are functioning and identify the consumption of electricity for each of them [1]. In residential buildings, where it is impractical to monitor single appliances, or even groups of appliances, through specific meters, NILM techniques are a low-cost and not invasive option for electric consumption monitoring, considering a single monitoring point where a smart meter is installed
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