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MLÝNEK, P. UHER, V. MIŠUREC, J.
Originální název
Forecasting of Smart Meters Energy Consumption for Data Analytics and Grid Monitoring
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Using data from smart meters for billing issue is an obvious application of Smart Metering. But focusing on smart metering data analytics for grid monitoring and automation is missing. The paper focuses on possibilities of using data from smart meters for data analytics and grid monitoring (Smart Metering application beyond billing data). The paper deals with two use cases for which the prediction and forecasting of energy consumption is crucial. The first use case is the estimated consumption and energy values for grid monitoring (possibility to forecast energy values for predicted potential events) and the second use case is to compare the consumption of all Smart Meters in the particular location with the measurement of total consumption in the substation (sum of all consumptions - black consumption identification or protection of energy grid during various disturbances). Counting data from non-communicating electricity meters is necessary for grid monitoring and ability to measure all electrical values in synchronized power system measurements.
Klíčová slova
smart meter, energy consumption, prediction, forecasting, Smart Grids
Autoři
MLÝNEK, P.; UHER, V.; MIŠUREC, J.
Vydáno
10. 6. 2022
Nakladatel
VSB – Technical University of Ostrava
Místo
Ostrava, Czech Republic
ISBN
978-1-6654-1056-4
Kniha
Proceedings of the 2022 22nd International Scientific Conference on Electric Power Engineering (EPE)
Edice
1
Strany od
225
Strany do
229
Strany počet
5
URL
https://ieeexplore.ieee.org/document/9814101
BibTex
@inproceedings{BUT178849, author="Petr {Mlýnek} and Václav {Uher} and Jiří {Mišurec}", title="Forecasting of Smart Meters Energy Consumption for Data Analytics and Grid Monitoring", booktitle="Proceedings of the 2022 22nd International Scientific Conference on Electric Power Engineering (EPE)", year="2022", series="1", pages="225--229", publisher="VSB – Technical University of Ostrava", address="Ostrava, Czech Republic", doi="10.1109/EPE54603.2022.9814101", isbn="978-1-6654-1056-4", url="https://ieeexplore.ieee.org/document/9814101" }