CNN-AdaBoost based hybrid model for electricity theft detection in smart grid
As the use of deep learning models is increased in smart grid systems, especially in load forecasting, supply-demand response, vulnerability detection, and finding abnormal behavior of the customers, it becomes necessary to find out the models’ flaws and increase their classification accuracy. While...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-03-01
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| Series: | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772671124000342 |