concept

smart home

Also known as: SH

Facts (9)

Sources
A comprehensive overview on demand side energy management ... link.springer.com Springer Mar 13, 2023 4 facts
referenceTeng R and Yamazaki T published research on load profile-based coordination of appliances in a smart home in the IEEE Transactions on Consumer Electronics in 2018.
measurementJavaid et al. (2017b) reported that smart home (SH) expenses were decreased by the Wind-Driven Optimization (WDO), Harmony Search Algorithm (HSA), Genetic Algorithm (GA), and Genetic Harmony Search Algorithm (GHSA) to 2.61, 1.72, 1.12, and 1.34 cents/h, respectively.
measurementJavaid et al. (2017b) found that smart home (SH) expenses were decreased by WDO, HSA, GA, and GHSA algorithms to 2.61, 1.72, 1.12, and 1.34 cents/h, respectively.
referenceTeng R and Yamazaki T developed a load profile-based coordination method for appliances in a smart home, published in IEEE Transactions on Consumer Electronics in 2018.
Comprehensive framework for smart residential demand side ... nature.com Nature Mar 22, 2025 3 facts
referenceA., Bayati, N., and Charoenlarpnopparut, C. proposed an energy management scheme for optimizing multiple smart homes equipped with electric vehicles in 2024.
referenceA., Bayati, N. & Charoenlarpnopparut, C. proposed an energy management scheme for optimizing multiple smart homes equipped with electric vehicles in the journal Energies, volume 17, issue 1, published in 2024.
referenceJavaid, N. et al. published 'An intelligent load management system with renewable energy integration for smart homes' in IEEE Access, volume 5, pages 13587–13600, in 2017.
Demand side management using optimization strategies for efficient ... journals.plos.org PLOS ONE Mar 21, 2024 1 fact
claimThe GreenHarmonizer Hub (GH) acts as the central scheduler for the GreenTech Nexus system, managing decision-making and scheduling energy usage in smart homes and IT facilities.
A Comprehensive Review on Residential Demand Side Management ideas.repec.org MDPI 1 fact
referenceMakhadmeh et al. published a survey titled 'Optimization methods for power scheduling problems in smart home' in the journal Renewable and Sustainable Energy Reviews in 2019.