Analysis and Prediction of Electricity Consumption Using Smart Meter Data

2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG): Proceedings 2015
Antans Sauļus Sauhats, Renāta Varfolomejeva, Oļegs Linkevičs, Romāns Petričenko, Māris Kuņickis, Māris Balodis

This paper is considering application of smart meter data to predict electricity consumption of household consumers. The availability and amount of data is suitable for in- depth statistical analysis of electricity consumption profiles and the study of consumer’s behavior. Prediction of electricity consumption is very important for electricity traders to balance their electricity purchase and sales portfolio, as well as to prepare optimal price products (offers) for their clients. Electricity consumption data of 500 consumers divided into 6 consumers groups was analyzed. The consumption data was derived from smart meters. As the next step, modern methods of electricity consumption forecasts would be applied to predict household electricity consumption.

Keywords
smart meters, electricity consumption profiles, statistical analysis, load aggregators
DOI
10.1109/PowerEng.2015.7266290

Sauhats, A., Varfolomejeva, R., Linkevičs, O., Petričenko, R., Kuņickis, M., Balodis, M. Analysis and Prediction of Electricity Consumption Using Smart Meter Data. In: 2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG): Proceedings, Latvia, Rīga, 11-13 May, 2015. Riga: Riga Technical University, 2015, pp.17-22. ISBN 978-1-4673-7203-9. e-ISBN 978-1-4799-9978-1. e-ISSN 2155-5532. Available from: doi:10.1109/PowerEng.2015.7266290

Publication language
English (en)