Energy Prediction and Optimization for Smart Homes with Weather Metric-Weight Coefficients.

ABSTRACT: Home appliances are considered to account for a large portion of smart homes' energy consumption. This is due to the abundant use of IoT devices. Various home appliances, such as heaters, dishwashers, and vacuum cleaners, are used every day. It is thought that proper control of these home appliances can reduce significant amounts of energy use. For this purpose, optimization techniques focusing mainly on energy reduction are used. Current optimization techniques somewhat reduce energy use but overlook user convenience, which was the main goal of introducing home appliances. Therefore, there is a need for an optimization method that effectively addresses the trade-off between energy saving and user convenience. Current optimization techniques should include weather metrics other than temper

SUBMITTER: Mehmood A 

PROVIDER: S-EPMC10099256 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature