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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hobbs, B.F. Jitprapaikulsarn, S. Konda, S. Chankong, V. Loparo, K.A. Maratukulam, D.J. |
| Copyright Year | 1969 |
| Abstract | Load forecast errors can yield suboptimal unit commitment decisions. The economic cost of inaccurate forecasts is assessed by a combination of forecast simulation, unit commitment optimization, and economic dispatch modeling for several different generation/load systems. The forecast simulation preserves the error distributions and correlations actually experienced by users of a neural net-based forecasting system. Underforecasts result in purchases of expensive peaking or spot market power; overforecasts inflate start-up and fixed costs because too much capacity is committed. The value of improved accuracy is found to depend on load and generator characteristics; for the systems considered here, a reduction of 1% in mean absolute percentage error (MAPE) decreases variable generation costs by approximately 0.1%-0.3% when MAPE is in the range of 3%-5%. These values are broadly consistent with the results of a survey of 19 utilities, using estimates obtained by simpler methods. A conservative estimate is that a 1% reduction in forecasting error for a 10,000 MW utility can save up to $1.6 million annually. |
| Sponsorship | IEEE Power Engineering Society |
| Starting Page | 1342 |
| Ending Page | 1348 |
| Page Count | 7 |
| File Size | 610080 |
| File Format | |
| ISSN | 08858950 |
| Volume Number | 14 |
| Issue Number | 4 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-11-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Load forecasting Economic forecasting Power system economics Power generation economics Costs Fuel economy Predictive models Power system analysis computing Error correction Environmental economics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Energy Engineering and Power Technology Electrical and Electronic Engineering |
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