Toward non-intrusive load monitoring via multi-label classification
Demand-side management technology is a key element of the proposed smart grid, which
will help utilities make more efficient use of their generation assets by reducing consumers' …
will help utilities make more efficient use of their generation assets by reducing consumers' …
A survey on intrusive load monitoring for appliance recognition
Electricity load monitoring of appliances has become an important task considering the
recent economic and ecological trends. In this game, machine learning has an important …
recent economic and ecological trends. In this game, machine learning has an important …
Energy efficient building automation: A survey paper on approaches and technologies for optimized building operation
Building automation is a trusted technology to ensure user comfort in buildings. Today the
challenge is not only to provide comfort, but to do it while having a close eye on the energy …
challenge is not only to provide comfort, but to do it while having a close eye on the energy …
Hidden Markov Models for ILM appliance identification
A Ridi, J Hennebert - Procedia Computer Science, 2014 - Elsevier
The automatic recognition of appliances through the monitoring of their electricity
consumption finds many applications in smart buildings. In this paper we discuss the use of …
consumption finds many applications in smart buildings. In this paper we discuss the use of …
Processing smart plug signals using machine learning
The automatic identification of appliances through the analysis of their electricity
consumption has several purposes in Smart Buildings including better understanding of the …
consumption has several purposes in Smart Buildings including better understanding of the …
Toward web enhanced building automation systems
The emerging concept of Smart Building relies on an intensive use of sensors and actuators
and therefore appears, at first glance, to be a domain of predilection for the IoT. However …
and therefore appears, at first glance, to be a domain of predilection for the IoT. However …
Towards reliable stochastic data-driven models applied to the energy saving in buildings
Résumé We aim at the elaboration of Information Systems able to optimize energy
consumption in buildings while preserving human comfort. Our focus is in the use of state …
consumption in buildings while preserving human comfort. Our focus is in the use of state …
Daily human activity recognition in smart home based on feature selection, neural network and load signature of appliances
N Oukrich - 2019 - hal.science
A smart home is a standard residence that was improved and equipped with all kinds of
sensors and effectors in order to provide services to its residents. One of the most key …
sensors and effectors in order to provide services to its residents. One of the most key …
Plug load identification using regression based nearest neighbor classifier
Energy utilization can be improved by precise plug load monitoring and control. Plug load
energy consumption is nearly 30% of the total building energy consumption. Therefore, plug …
energy consumption is nearly 30% of the total building energy consumption. Therefore, plug …
[HTML][HTML] DeepEdge: A novel appliance identification edge platform for data gathering, capturing and labeling
Z Wang, W Wang, Z Zhang, F Hu, X Xia, L Chen - Sensors, 2022 - mdpi.com
With the development of the Internet of Things for smart grid, the requirement for appliance
monitoring has become an important topic. The first and most important step in appliance …
monitoring has become an important topic. The first and most important step in appliance …