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Unknown appliances detection for non-intrusive load monitoring based on vision transformer with an additional detection head
Q Zhao, W Liu, K Li, Y Wei, Y Han - Heliyon, 2024 - cell.com
Non-intrusive load monitoring (NILM) offers precise insights into equipment-level energy
consumption by analyzing current and voltage data from residential smart meters, thus …
consumption by analyzing current and voltage data from residential smart meters, thus …
SGAN: Appliance signatures data generation for NILM applications using GANs
The development and evolution of advanced energy system technologies is one of the most
important goals for the global community in recent years. In this effort, the utilization and …
important goals for the global community in recent years. In this effort, the utilization and …
Semi-supervised learning with flexible threshold for non-intrusive load monitoring
T Tang, K Li, C Su, Z Liu - Heliyon, 2024 - cell.com
Non-intrusive load monitoring (NILM) can obtain fine-grained power consumption
information for individual appliances within the user without installing additional hardware …
information for individual appliances within the user without installing additional hardware …
[HTML][HTML] Synergistic Non-Intrusive Load Monitoring: Dual-Model Training and Inference for Improved Load Disaggregation Prediction
Load disaggregation is the process of identifying an individual appliance's power demand
within aggregate electrical load data. Virtually all recently proposed disaggregation methods …
within aggregate electrical load data. Virtually all recently proposed disaggregation methods …
A two Stage Mixed Integer Programming Model for Distributionally Robust State Based Non-Intrusive Load Monitoring
C Zhang, Z Chai, L Yang - IEEE Transactions on Consumer …, 2025 - ieeexplore.ieee.org
This paper presents a non-intrusive load monitoring (NILM) model based on two-stage
mixed-integer linear programming theory. Compared with other mixed integer optimization …
mixed-integer linear programming theory. Compared with other mixed integer optimization …