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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Marwan, M. Ledwich, G. Ghosh, A. |
| Copyright Year | 2012 |
| Description | Author affiliation: School of Electrical engineering and Computer Science, Science and Engineering Faculty QUT, Brisbane, Australia (Marwan, M.; Ledwich, G.; Ghosh, A.) |
| Abstract | The growing demand of air-conditioning is one of the largest contributors to Australia's overall electricity consumption. This has started to create peak load supply problems for some electricity utilities particularly in Queensland. This research aimed to develop consumer demand side response model to assist electricity consumers to mitigate peak demand on the electrical network. The model developed demand side response model to allow consumers to manage and control air conditioning for every period, it is called intelligent control. This research investigates optimal response of end-user toward electricity price for several cases in the near future, such as: no spike, spike and probability spike price cases. The results indicate the potential of the scheme to achieve energy savings, reducing electricity bills (costs) to the consumer and targeting best economic performance for electrical generation distribution and transmission. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 310996 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467329330 |
| e-ISBN | 9789791884723 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-09-26 |
| Publisher Place | Indonesia |
| Access Restriction | Subscribed |
| Rights Holder | Institut Teknologi Sepulul |
| Subject Keyword | Air conditioning Generation Economic Electricity Atmospheric modeling Electrical network Switches Turning Australia Demand side response Optimization consumer |
| Content Type | Text |
| Resource Type | Article |
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