IoT-Enabled Demand Response and Energy Management System for Smart Homes : Development and Performance Analysis
This research explores the integration of demand response and energy management systems in smart homes, leveraging IoT technologies and AI algorithms to enhance energy efficiency and grid stability. The developed prototype demonstrates the successful incorporation of smart plugs and smart meters to...
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2024
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my.unimas.ir-478212025-03-24T06:18:57Z http://ir.unimas.my/id/eprint/47821/ IoT-Enabled Demand Response and Energy Management System for Smart Homes : Development and Performance Analysis A’in Sarah, Aidell Nazreen, Junaidi Kuryati, Kipli Sharifah Masniah, Wan Masra Asrani, Lit TK Electrical engineering. Electronics Nuclear engineering This research explores the integration of demand response and energy management systems in smart homes, leveraging IoT technologies and AI algorithms to enhance energy efficiency and grid stability. The developed prototype demonstrates the successful incorporation of smart plugs and smart meters to monitor and control energy consumption in real time. The integration with the Smart Life app provided a user-friendly interface for remote control and automation of devices. The system showed significant potential for reducing energy costs and contributing to grid stability during peak demand periods, highlighting the feasibility of smart home technologies in modern energy management. 2024-02-26 Proceeding PeerReviewed text en http://ir.unimas.my/id/eprint/47821/3/IoT-Enabled%20Demand%20Response.pdf A’in Sarah, Aidell and Nazreen, Junaidi and Kuryati, Kipli and Sharifah Masniah, Wan Masra and Asrani, Lit (2024) IoT-Enabled Demand Response and Energy Management System for Smart Homes : Development and Performance Analysis. In: 2024 IEEE Sustainable Power and Energy Conference (iSPEC), 24-27 November 2025, KUCHING. https://ieeexplore.ieee.org/abstract/document/10892582 |
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TK Electrical engineering. Electronics Nuclear engineering A’in Sarah, Aidell Nazreen, Junaidi Kuryati, Kipli Sharifah Masniah, Wan Masra Asrani, Lit IoT-Enabled Demand Response and Energy Management System for Smart Homes : Development and Performance Analysis |
| description |
This research explores the integration of demand response and energy management systems in smart homes, leveraging IoT technologies and AI algorithms to enhance energy efficiency and grid stability. The developed prototype demonstrates the successful incorporation of smart plugs and smart meters to monitor and control energy consumption in real time. The integration with the Smart Life app provided a user-friendly interface for remote control and automation of devices. The system showed significant potential for reducing energy costs and contributing to grid stability during peak demand periods, highlighting the feasibility of smart home technologies in modern energy management. |
| format |
Proceeding |
| author |
A’in Sarah, Aidell Nazreen, Junaidi Kuryati, Kipli Sharifah Masniah, Wan Masra Asrani, Lit |
| author_facet |
A’in Sarah, Aidell Nazreen, Junaidi Kuryati, Kipli Sharifah Masniah, Wan Masra Asrani, Lit |
| author_sort |
A’in Sarah, Aidell |
| title |
IoT-Enabled Demand Response and Energy Management System for Smart Homes : Development and Performance Analysis |
| title_short |
IoT-Enabled Demand Response and Energy Management System for Smart Homes : Development and Performance Analysis |
| title_full |
IoT-Enabled Demand Response and Energy Management System for Smart Homes : Development and Performance Analysis |
| title_fullStr |
IoT-Enabled Demand Response and Energy Management System for Smart Homes : Development and Performance Analysis |
| title_full_unstemmed |
IoT-Enabled Demand Response and Energy Management System for Smart Homes : Development and Performance Analysis |
| title_sort |
iot-enabled demand response and energy management system for smart homes : development and performance analysis |
| publishDate |
2024 |
| url |
http://ir.unimas.my/id/eprint/47821/3/IoT-Enabled%20Demand%20Response.pdf http://ir.unimas.my/id/eprint/47821/ https://ieeexplore.ieee.org/abstract/document/10892582 |
| _version_ |
1827525116482813952 |
| score |
13.251813 |