Results 101 to 110 of about 2,135 (206)
Recent approaches and applications of non-intrusive load monitoring [PDF]
The Appliance Load Monitoring is vital in every energy consuming system be it commercial, residential or industrial in nature. Traditional load monitoring system, which used to be intrusive in nature require the installation of sensors to every load of ...
Abubakar, I. +4 more
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Load Disaggregation Using Microscopic Power Features and Pattern Recognition
A new generation of smart meters are called cognitive meters, which are essentially based on Artificial Intelligence (AI) and load disaggregation methods for Non-Intrusive Load Monitoring (NILM).
Wesley Angelino de Souza +4 more
doaj +1 more source
Field Demonstration of a Real-time Non-intrusive Monitoring System for Condition-based Maintenance [PDF]
The performance of important electrical loads on mission critical systems like warships or off-shore platforms is often tracked by dedicated monitoring equipment. Individual monitoring of each load is expensive and risky.
Branch, Perry +11 more
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An embedded system prototype for non-intrusive load monitoring [PDF]
Load monitoring is important for electrical power management solutions, allowing for specific energy consumption statistics of a device to trace programming methods, for optimal energy consumption.
Espinosa Gutiérrez, Andy Josué
core
With global efforts intensifying towards achieving carbon neutrality, accurately monitoring and managing energy consumption in industrial sectors has become critical.
Gengsheng He +7 more
doaj +1 more source
Researchers are increasingly interested in Non-intrusive Load Monitoring (NILM) as a cost-effective alternative to Intrusive Load Monitoring (ILM) for smart home energy monitoring. However, most NILM studies assume a fixed number of appliances and adjust
Behrooz Taheri +3 more
doaj +1 more source
Non-intrusive load monitoring (NILM) is emerging as a useful approach to improving the energy efficiency of buildings and households, particularly in the face of the growing challenges of environmental sustainability. Despite recent advances, the accuracy and reliability of disaggregation algorithms remain limited by the diversity of household energy ...
Leonce W. Tokam +2 more
openaire +2 more sources
An Ensemble Method for Non-Intrusive Load Monitoring (NILM) Applied to Deep Learning Approaches
Climate change, primarily driven by human activities such as burning fossil fuels, is causing significant long-term changes in temperature and weather patterns. To mitigate these impacts, there is an increased focus on renewable energy sources. However, optimizing power consumption through effective usage control and waste recycling also offers ...
Silvia Moreno +8 more
openaire +2 more sources
A Non-invasive Load Recognition Approach Incorporating SENet Attention Mechanism and GA-CNN
With the popularization of smart meters and the gradual improvement of grid informatization and digitization, non-intrusive load monitoring (NILM) on the demand side of residential customers' energy usage is becoming one of the key technologies for power
Xin SHEN +5 more
doaj +1 more source
Non-intrusive load monitoring (NILM) technology, crucial for intelligent electricity management, has gained considerable attention in residential electricity usage studies.
Jiameng Liu +4 more
doaj +1 more source

