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@inproceedings{1388625,
author = {Kadlec, Miroslav and Bühnová, Barbora and Tomšík, Jan and Herman, Jan and Družbíková, Kateřina},
address = {Prague},
booktitle = {Smart City Symposium Prague (SCSP), 2017},
doi = {http://dx.doi.org/10.1109/SCSP.2017.7973867},
keywords = {Smart grids; demand response; energy usage optimization; weather forecast},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Prague},
isbn = {978-1-5386-3825-5},
pages = {1-6},
publisher = {IEEE},
title = {Weather forecast based scheduling for demand response optimization in smart grids},
url = {http://ieeexplore.ieee.org/abstract/document/7973867/},
year = {2017}
}
TY - JOUR
ID - 1388625
AU - Kadlec, Miroslav - Bühnová, Barbora - Tomšík, Jan - Herman, Jan - Družbíková, Kateřina
PY - 2017
TI - Weather forecast based scheduling for demand response optimization in smart grids
PB - IEEE
CY - Prague
SN - 9781538638255
KW - Smart grids
KW - demand response
KW - energy usage optimization
KW - weather forecast
UR - http://ieeexplore.ieee.org/abstract/document/7973867/
N2 - we present an algorithm for scheduling water heaters' activity intervals with the purpose of balancing fluctuations of total power demand and uncontrollable photovoltaic production, and designed for real deployment. To do so, our method uses historical metering data and weather forecasts. We specify the environment the algorithm was designed for, describe predictions we did and present the steps of choosing optimal switching times.
ER -
KADLEC, Miroslav, Barbora BÜHNOVÁ, Jan TOMŠÍK, Jan HERMAN and Kateřina DRUŽBÍKOVÁ. Weather forecast based scheduling for demand response optimization in smart grids. Online. In \textit{Smart City Symposium Prague (SCSP), 2017}. Prague: IEEE, 2017, p.~1-6. ISBN~978-1-5386-3825-5. Available from: https://dx.doi.org/10.1109/SCSP.2017.7973867.
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