A Comprehensive Predictive-Learning Framework for Optimal Scheduling and Control of Smart Home Appliances Based on User and Appliance Classification

A Comprehensive Predictive-Learning Framework for Optimal Scheduling and Control of Smart Home Appliances Based on User and Appliance Classification

Energy consumption is increasing daily, and with that comes a continuous increase in energy costs. Predicting future energy consumption and building an effective energy management system for smart homes has become essential for many industrialists to solve the problem of energy wastage. Machine lear...

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Bibliographic Details
Main Authors: Wafa Shafqat, Kyu-Tae Lee, Do-Hyeun Kim
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
energy consumption
energy cost
optimal scheduling
smart homes
user classification
appliance classification
Online Access:https://www.mdpi.com/1424-8220/23/1/127

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