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- Publisher Website: 10.1109/MWSCAS.2014.6908427
- Scopus: eid_2-s2.0-84908481439
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Conference Paper: Dynamic programming based game theoretic algorithm for economical multi-user smart home scheduling
| Title | Dynamic programming based game theoretic algorithm for economical multi-user smart home scheduling |
|---|---|
| Authors | |
| Keywords | Dynamic Programming Game Theoretic Algorithm Monetary Cost Minimization Scheduling Smart Home |
| Issue Date | 2014 |
| Citation | Midwest Symposium on Circuits and Systems, 2014, p. 362-365 How to Cite? |
| Abstract | Smart home becomes an emerging research topic these years. It offers various advantages such as facilitating the control of home appliances and the reduction of electricity bill. In this paper, a dynamic programming based game theoretic algorithm is proposed for multiple user smart home scheduling which can handle home appliances with multiple discrete power levels. The simulation results on test cases of 1000 to 5000 users demonstrate that our algorithm using game theory can achieve reduction of monetary cost of energy consumption by 29% on average comparing to the algorithm without game theory. In addition, our algorithm produces more balanced energy consumption. |
| Persistent Identifier | http://hdl.handle.net/10722/336039 |
| ISSN | 2023 SCImago Journal Rankings: 0.268 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Liu, Lin | - |
| dc.contributor.author | Zhou, Yuchen | - |
| dc.contributor.author | Liu, Yang | - |
| dc.contributor.author | Hu, Shiyan | - |
| dc.date.accessioned | 2024-01-15T08:22:15Z | - |
| dc.date.available | 2024-01-15T08:22:15Z | - |
| dc.date.issued | 2014 | - |
| dc.identifier.citation | Midwest Symposium on Circuits and Systems, 2014, p. 362-365 | - |
| dc.identifier.issn | 1548-3746 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/336039 | - |
| dc.description.abstract | Smart home becomes an emerging research topic these years. It offers various advantages such as facilitating the control of home appliances and the reduction of electricity bill. In this paper, a dynamic programming based game theoretic algorithm is proposed for multiple user smart home scheduling which can handle home appliances with multiple discrete power levels. The simulation results on test cases of 1000 to 5000 users demonstrate that our algorithm using game theory can achieve reduction of monetary cost of energy consumption by 29% on average comparing to the algorithm without game theory. In addition, our algorithm produces more balanced energy consumption. | - |
| dc.language | eng | - |
| dc.relation.ispartof | Midwest Symposium on Circuits and Systems | - |
| dc.subject | Dynamic Programming | - |
| dc.subject | Game Theoretic Algorithm | - |
| dc.subject | Monetary Cost Minimization | - |
| dc.subject | Scheduling | - |
| dc.subject | Smart Home | - |
| dc.title | Dynamic programming based game theoretic algorithm for economical multi-user smart home scheduling | - |
| dc.type | Conference_Paper | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1109/MWSCAS.2014.6908427 | - |
| dc.identifier.scopus | eid_2-s2.0-84908481439 | - |
| dc.identifier.spage | 362 | - |
| dc.identifier.epage | 365 | - |