Code for tutorials, tests, and experimentation done as part of a Deep Learning-based undergraduate Final Year Project at the department of Electrical Engineering, NEDUET.
Using supervised deep learning to systematically create, test, and optimise neural networks for detecting anomalous energy consumption patterns in smart meter data. Training using a publicly available, labeled dataset published by the State Grid Corporation of China which spans 13 months of daily kWh smart meter measurements of ~42k residential consumers.
More details are in the Project Proposal.
All group members are final year undergraduates from Section D, Batch 2016-17 at the Department of Electrical Engineering, NEDUET.
| No. | Roll Number | Name |
|---|---|---|
| 1 | EE-16177 | Muhammad Waleed Hasan (Leader) |
| 2 | EE-16163 | Saad Mashkoor Siddiqui |
| 3 | EE-16164 | Faiq Siddiqui |
| 4 | EE-16194 | Syed Abdul Haseeb Qadri |
| Name | Designation | Organization | |
|---|---|---|---|
| Internal | Dr. Mirza Muhammad Ali Baig | Assistant Professor | Department of Electrical Engineering, NEDUET |
| External | Mr. Shahzeb Anwar | Infrastructure Analyst | ENI Pakistan |