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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ching-Lung Lin Lin-Song Weng Hong-Tzer Yang |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Electr. Eng., Chung Yuan Christian Univ., Chung-li, Taiwan (Ching-Lung Lin) |
| Abstract | Today, escalating fuel prices has further aggravated the global concern about the growing energy crisis. Many energy researchers of today focus upon finding new ways in saving energy and more effective methods for power control and dispatch. This paper discusses incorporating artificial intelligence (AI) ideology and using modern Two-way Wireless RF signals through local area network (LAN) and wide area network (WAN) connections to setup a dynamic local area power dispatch System (LAPDS). The LAPDS will not only effectively dispatch the load flow, but its incorporated AI concepts will reduce the power demand during peak periods based on a policy of price discount for different periods of the day. |
| Sponsorship | Coventry Univ. IEEE IEE British Comput. Soc |
| Starting Page | 588 |
| Ending Page | 593 |
| File Size | 792337 |
| Page Count | 6 |
| File Format | |
| ISBN | 1846000025 |
| DOI | 10.1109/CSCWD.2005.194238 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-05-24 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Coventry University |
| Subject Keyword | Local area networks Wireless LAN Wide area networks Control systems Power system relaying Artificial intelligence Radio frequency Pattern analysis Job shop scheduling IEEE members |
| Content Type | Text |
| Resource Type | Article |
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