Abstract
To reduce the peak load and the cost of electricity, this work proposes a QoE-aware and cost-efficient smart control algorithm for the home energy management system. The proposed algorithm reduces the peak load and the electricity bill by shifting the starting times of delay-tolerant home appliances from peak to off-peak hours. However, the maximum allowable delay of the starting time of a home appliance is constrained by a given QoE threshold. Several QoE mapping functions for various appliances were also proposed in this paper. Simulation results indicate that the proposed QoE-aware smart control algorithm significantly reduces the peak load and electricity bill while preserving the user comfort or QoE.
| Original language | English |
|---|---|
| Title of host publication | ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks |
| Publisher | IEEE Computer Society |
| Pages | 498-501 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781509047499 |
| DOIs | |
| State | Published - 26 07 2017 |
| Event | 9th International Conference on Ubiquitous and Future Networks, ICUFN 2017 - Milan, Italy Duration: 04 07 2017 → 07 07 2017 |
Publication series
| Name | International Conference on Ubiquitous and Future Networks, ICUFN |
|---|---|
| ISSN (Print) | 2165-8528 |
| ISSN (Electronic) | 2165-8536 |
Conference
| Conference | 9th International Conference on Ubiquitous and Future Networks, ICUFN 2017 |
|---|---|
| Country/Territory | Italy |
| City | Milan |
| Period | 04/07/17 → 07/07/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Keywords
- Dynamic electricity prices
- Home automation
- Home energy management system (HEMS)
- Peak load
- Quality-of-experience (QoE)
- Smart home
Fingerprint
Dive into the research topics of 'QoE-aware and cost-efficient home energy management under dynamic electricity prices'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver