Dec 22, 2021 · In this paper, the non-intrusive load monitoring approach is utilized to detect the above anomalies based on two main factors: 1) the power ...
In this paper, the non-intrusive load monitoring approach is utilized to detect the above anomalies based on two main factors: 1) the power distribution and 2) ...
In this paper, the non- intrusive load monitoring approach is utilized to detect the above anomalies based on two main factors: 1) the power distribution and 2) ...
Oct 22, 2024 · In this paper, the non-intrusive load monitoring approach is utilized to detect the above anomalies based on two main factors: 1) the power ...
Since the proposed method is nonintrusive it is cost-efficient and accommodates the consumer's privacy and comfort, and reduces energy waste and avoids ...
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Aug 1, 2023 · We analyze low-frequency power data and present two case studies for new appliances. Novel proximity measures are introduced to assess the similarity between ...
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Sep 2, 2022 · A novel Appliance Monitoring and Anomaly Detection System (AM-ADS) is presented. AM-ADS consists of a main controller, a database, IoT-based communication ...
L2. Appliance level: it stands for the case where anomaly detection is performed using appliance power consumption data gathered using individual sub-meters.
Anomaly detection is performed using a new rule-based proposed algorithm, which we term UNUM2 that first learns the appliance's. ON–OFF cycle frequency and ...
May 7, 2024 · Non-intrusive load monitoring (NILM) offers precise insights into equipment-level energy consumption by analyzing current and voltage data ...