Machine Learning-Based Anomaly Detection for Load Forecasting Under Cyberattacks [electronic resource]
Accurate load forecasting can create both economic and reliability benefits for power system operators. However, the cyberattack on load forecasting may mislead operators to make unsuitable operational decisions for the electricity delivery. To effectively and accurately detect these cyberattacks, t...
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| Format: | Government Document Electronic eBook |
| Language: | English |
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Upton, N.Y. : Oak Ridge, Tenn. :
Brookhaven National Laboratory ; Distributed by the Office of Scientific and Technical Information, U.S. Department of Energy,
2019.
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Internet
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| Call Number: |
E 1.99:bnl-212334-2019-jaam
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| E 1.99:bnl-212334-2019-jaam | Available |