Standby power management of a smart home appliance by using energy saving system with active loading feature identification

MT Chen, CM Lin - IEEE Transactions on Consumer Electronics, 2018 - ieeexplore.ieee.org
Recently, energy conservation has been concerned, and there are several aspects to
improve the energy consumption issues. Therefore, many research results were proposed to …

Design and implementation of a smart home energy saving system with active loading feature identification and power management

CM Lin, MT Chen - 2017 IEEE 3rd International Future Energy …, 2017 - ieeexplore.ieee.org
In this paper, a smart home electric energy saving system is implemented by combining
smart meter, smart plug, smart mobile devices, and database server. The smart meter …

Design and implementation of an intelligent energy saving system based on standby power reduction for a future zero-energy home environment

J Byun, S Park, B Kang, I Hong… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Energy saving has attracted great attention as a global issue because of recent
environmental problems. As a part of energy saving efforts, governments are operating …

Multi-state household appliance identification based on convolutional neural networks and clustering

Y Zhang, B Yin, Y Cong, Z Du - Energies, 2020 - mdpi.com
Non-intrusive load monitoring, a convenient way to discern the energy consumption of a
house, has been studied extensively. However, most research works have been carried out …

Modern development of an adaptive non-intrusive appliance load monitoring system in electricity energy conservation

MS Tsai, YH Lin - Applied Energy, 2012 - Elsevier
Traditionally, electricity energy consumption of a residence can be monitored through the
watt-hour meter installed at the panel. However, the power consumption of individual …

Non–intrusive appliance load disaggregation in smart homes using hybrid constrained particle swarm optimization and factorial hidden markov model

A Dejamkhooy, A Ahmadpour, S Pourjafar - Journal of Energy …, 2019 - jemat.org
Nowadays, the prediction of the load performances in the smart systems is necessary to
generate the minimum energy. In a smart home, there are various appliances that each of …

A data-mining based optimal demand response program for smart home with energy storages and electric vehicles

M Babaei, A Abazari, MM Soleymani, M Ghafouri… - Journal of Energy …, 2021 - Elsevier
In recent years, modern appliances with high electricity demand have played a significant
role in residential energy consumption. Despite the positive impact of these appliances on …

An event-driven convolutional neural architecture for non-intrusive load monitoring of residential appliance

D Yang, X Gao, L Kong, Y Pang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Nowadays, the advancement of non-intrusive load monitoring (NILM) is hastened by the
everincreasing requirements for smart power utilization and demand side management …

Research on non-intrusive load recognition method based on improved equilibrium optimizer and SVM model

J Wang, B Zhang, L Shu - Electronics, 2023 - mdpi.com
Non-intrusive load monitoring is the main trend of green energy-saving electricity
consumption at present, and load identification is a core part of non-invasive load …

Appliance flexibility analysis considering user behavior in home energy management system using smart plugs

S Zhai, Z Wang, X Yan, G He - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
The home energy management system (HEMS) plays an important role in enabling
residential customers to participate in demand response (DR) programs autonomously via …