OPTIMIZATION OF ANOMALY DETECTION IN ELECTRICITY USAGE FOR PREPAID CUSTOMERS USING MACHINE LEARNING
Electricity theft and anomalies in electricity usage pose signijicant challenges for utility companies, leading to financial losses, power supply disruptions, and even fire risks caused by short circuits or overloads. In contrast to previous studies that focused more on postpaid customers, this stud...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/87709 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |