Machine Learning Regression Approach for Estimating Energy Consumption of Appliances in Smart Home

• Main Authors: Husin N.S.I.M., Mostafa S.A., Jaber M.M., Gunasekaran S.S., Al-Shakarchi A.H., Abdulsattar N.F.
• Other Authors: 58581629000
• Format: Conference Paper
• Published: Institute of Electrical and Electronics Engineers Inc. 2024
• Subjects: Appliances Energy Estimation; Energy Management; Machine Learning; Time Series Dataset; Automation; Data mining; Decision trees; Energy conservation; Energy management; Forecasting; Learning algorithms; Learning systems; Machine learning; Regression analysis; Time series; Appliance energy estimation; Energy estimation; Energy-consumption; Machine learning algorithms; Machine-learning; Smart homes; Three models; Time series dataset; Times series; Training and testing; Energy utilization

This paper attempts to use machine learning algorithms to estimate the energy consumption of appliances in a smart home environment. This work aims to promote awareness among smart home systems and users about their appliances' energy consumption and guide them toward energy-saving practices. T...