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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Park, J.H. Park, Y.M. Lee, K.Y. |
| Copyright Year | 1969 |
| Abstract | A composite load model is developed for predicting hourly electric loads 1-24 h ahead. The load model is composed of three components: the nominal load, the type load, and the residual load. The nominal load is modeled in such a way that the Kalman filter can be used, and the parameters of the model are adapted by the exponentially weighted recursive-least-squares method. The type load component is extracted for weekend load prediction and updated by an exponential smoothing method. The residual load is predicted by the autoregressive model, and the parameters of the model are estimated using the recursive-least-squares method. Test results are presented using utility data for two different years.< |
| Sponsorship | IEEE Power Engineering Society |
| Starting Page | 450 |
| Ending Page | 457 |
| Page Count | 8 |
| File Size | 804145 |
| File Format | |
| ISSN | 08858950 |
| Volume Number | 6 |
| Issue Number | 2 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1991-05-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Predictive models Load forecasting Weather forecasting Load modeling Power system modeling Power system planning Least squares methods Power generation economics Economic forecasting Control systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Energy Engineering and Power Technology Electrical and Electronic Engineering |
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