Load Balancing Integrated Least Slack Time-Based Appliance Scheduling for Smart Home Energy Management

@inproceedings{Silva2018LoadBI,
  title={Load Balancing Integrated Least Slack Time-Based Appliance Scheduling for Smart Home Energy Management},
  author={Bhagya Nathali Silva and Murad Khan and Ki Jun Han},
  booktitle={Sensors},
  year={2018}
}
The emergence of smart devices and smart appliances has highly favored the realization of the smart home concept. Modern smart home systems handle a wide range of user requirements. Energy management and energy conservation are in the spotlight when deploying sophisticated smart homes. However, the performance of energy management systems is highly influenced by user behaviors and adopted energy management approaches. Appliance scheduling is widely accepted as an effective mechanism to manage… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 34 references

Smart home energy management systems: Concept, configurations, and scheduling strategies

B. Zhou, W. Li, +4 authors X. Wang
Renew. Sustain. Energy Rev. 2016, • 2018
View 1 Excerpt

Dynamic Pricing for Local Energy Management: Towards a Better Integration of Local Production

A. Muller, R. Bourdais
IFAC-PapersOnLine • 2017
View 1 Excerpt

Internet of Things: A Comprehensive Review of Enabling Technologies, Architecture, and Challenges

B. N. Silva, M. Khan, K. Han
IETE Tech. Rev • 2017
View 1 Excerpt

A Neural Network-Based Appliance Scheduling Methodology for Smart Homes and Buildings with Multiple Power Sources

2016 IEEE International Symposium on Nanoelectronic and Information Systems (iNIS) • 2016
View 2 Excerpts

A survey on residential demand side management architecture, approaches, optimization models and methods

B. P. Esther, K. S. Kumar
Renew. Sustain. Energy Rev • 2016
View 2 Excerpts

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