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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lianfu Yao Dawei Jiang Nan Cheng |
| Copyright Year | 2009 |
| Abstract | Electric load forecasting plays a vital role in the safety of power system. To overcome the unreasonableness in the division of electric load forecasting artificially, in this paper, a new method which is the division of electric load forecasting based on artificial immune clustering algorithm is proposed. To reduce the scale of data and the redundancy information of the clustering data, this article puts the electric load data of a city in China as the antigen of immune system and makes a clustering analysis of the immunological memory data sets produced by artificial immune algorithm. The simulations demonstrate that the method proposed is more stable than artificially method and provides excellent division results. |
| Starting Page | 324 |
| Ending Page | 327 |
| File Size | 269909 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769538198 |
| DOI | 10.1109/ICEET.2009.317 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-10-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Immune clustering Power system economics Power generation economics Power system planning Power system security Load forecasting Artificial immune systems Clustering algorithms Electric load Cities and towns Economic forecasting Division Immune system |
| Content Type | Text |
| Resource Type | Article |
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