Detection of Irregular Consumption to Load Monitoring in Smart Grids Environment |
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| Bogdan C. Neagu, Gheorghe Grigoraș |
- Abstract:
- Today, power distribution operators are concerned about irregular behavior of electricity consumption in their decision-making process. In the load data, abnormal consumptions may happen due to measurement error, undetected consumption, illegal electricity connection, improperly installed equipment etc. The paper presents a statistical approach which acquires the basic concept of knowledge discovery on databases (KDD)with data mining, focuses on the identification of outliers (irregular consumption) from load curves recorded by Smart Meters on the substation of the power distribution networks. In order to validate the proposed approach, a real database with 300 substations from rural area was used. The results demonstrate that by detection and elimination of irregular consumption, the load curves can be efficiently used by modern distribution operators for a better operation and planning of actually “smart” networks.
- Keywords:
- data mining, load monitoring, irregular consumption, Smart Grids
- Download:
- IMEKO-TC4-2017-035.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC4
- Event name:
- TC4 Symposium 2017
- Title:
22nd IMEKO TC4 Symposium and 20th International Workshop on ADC Modelling and Testing
"Supporting world development through electric&electronic measurements"- Place:
- Iasi, ROMANIA
- Time:
- 14 September 2017 - 15 September 2017