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- Title
Data Mining Tools in Electricity Distribution Systems.
- Authors
Neagu, Bogdan Constantin; Grigoraş, Gheorghe
- Abstract
Actually, the ongoing rapid growth of modern computational technology has created an astounding flow of data. The smart grids trends in Romania represent the Smart Metering systems implementation. With the advent of Smart Meter, a huge amount of power system data is being stored day-to-day in the DSO databases. The electricity consumption information contains a lot of valuable knowledge, very useful for both distribution system operator (DSO) and final users. In this context, the smart meters are a key element for load controlling and monitoring of the future smart grids. This paper describes an approach to identify the consumption indicators using Data Mining techniques. Knowledge discovery and machine learning techniques can make use of this data to extract valuable information and interesting patterns in these databases. The originality of the paper consists in the data mining software developed and controlled by a friendly graphic interface for results visualization which can be used in a lot of electricity distribution systems application. The analysis of study case results can lead power consumers to use electricity rationally, and provide decision support for each DSO.
- Subjects
METERING pumps; DATABASES; ELECTRICAL energy; ENERGY consumption; ELECTRIC generators
- Publication
Acta Electrotehnica, 2015, Vol 56, Issue 3, p209
- ISSN
1841-3323
- Publication type
Article