Abstract
In recent years, the research for electric power usage reduction in a house has been widely studied. Home energy management system (HEMS) is become one of major applications to handle many smart electrical devices inside house that proves its electricity usage reduction efficiently. However, HEMS has a critical issue which cannot control non-smart devices at home. Saving unnecessary energy usage for legacy devices remains research area to prevent from expansions of energy waste for users. In this paper, an intelligence inference control approach based on the adaptive neural-fuzzy inference system (ANFIS) is proposed for legacy devices. The approach based on ANFIS focuses to reduce computation of training time by performing regeneration and resampling approach compared to conventional ANFIS.
| Original language | English |
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| Title of host publication | ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1294-1296 |
| Number of pages | 3 |
| ISBN (Electronic) | 9788993215090 |
| DOIs | |
| Publication status | Published - 2015 Dec 23 |
| Event | 15th International Conference on Control, Automation and Systems, ICCAS 2015 - Busan, Korea, Republic of Duration: 2015 Oct 13 → 2015 Oct 16 |
Publication series
| Name | ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings |
|---|
Other
| Other | 15th International Conference on Control, Automation and Systems, ICCAS 2015 |
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| Country/Territory | Korea, Republic of |
| City | Busan |
| Period | 15/10/13 → 15/10/16 |
Bibliographical note
Publisher Copyright:© 2015 Institute of Control, Robotics and Systems - ICROS.
Keywords
- Artificial neural fuzzy inference system (ANFIS)
- Home energy management system (HEMS)
- Legacy device
- Regeneration
- Resampling
ASJC Scopus subject areas
- Control and Systems Engineering