@inproceedings{c2c750a0535044ba902785e634a8bae6,
title = "Smart home appliances scheduling to manage energy usage",
abstract = "It is imperative to manage household appliances in a cost-effective way to realize efficient energy utilization, reduce spending on electricity bills and increase grid reliability. This study presents a Home energy management system (HEMS) scheduling analysis. The scheduling plan avoids the electricity wastages which arise majorly due resident's negligence on appliances control. The home appliances employed in the research work are classified in terms of their operating periods. The energy consumption was evaluated using a Fixed Pricing (FP) data. The appliances scheduling plan was developed using Microsoft.net framework with C# Programming language whereas the front end showing the scheduled operating periods for the appliances was developed using Telerik UI framework for Windows forms. Simulation results of the scheduling plan show energy consumption in homes can be planned, monitored and controlled to avoid energy wastage and minimize energy expenditure.",
keywords = "Demand side management, Home energy management system, Scheduling, Smart home appliances",
author = "Alimi, {O. A.} and K. Ouahada",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 7th IEEE International Conference on Adaptive Science and Technology, ICAST 2018 ; Conference date: 22-08-2018 Through 24-08-2018",
year = "2018",
month = oct,
day = "24",
doi = "10.1109/ICASTECH.2018.8507138",
language = "English",
series = "IEEE International Conference on Adaptive Science and Technology, ICAST",
publisher = "IEEE Computer Society",
booktitle = "2018 IEEE 7th International Conference on Adaptive Science and Technology, ICAST 2018",
address = "United States",
}