2017
Weather forecast based scheduling for demand response optimization in smart grids
KADLEC, Miroslav; Barbora BÜHNOVÁ; Jan TOMŠÍK; Jan HERMAN; Kateřina DRUŽBÍKOVÁ et. al.Basic information
Original name
Weather forecast based scheduling for demand response optimization in smart grids
Authors
KADLEC, Miroslav (203 Czech Republic, guarantor, belonging to the institution); Barbora BÜHNOVÁ (203 Czech Republic, belonging to the institution); Jan TOMŠÍK (203 Czech Republic); Jan HERMAN (203 Czech Republic) and Kateřina DRUŽBÍKOVÁ (203 Czech Republic)
Edition
Prague, Smart City Symposium Prague (SCSP), 2017, p. 1-6, 6 pp. 2017
Publisher
IEEE
Other information
Language
English
Type of outcome
Proceedings paper
Field of Study
10201 Computer sciences, information science, bioinformatics
Confidentiality degree
is not subject to a state or trade secret
Publication form
electronic version available online
References:
RIV identification code
RIV/00216224:14330/17:00097457
Organization unit
Faculty of Informatics
ISBN
978-1-5386-3825-5
UT WoS
000443416600041
EID Scopus
2-s2.0-85027703676
Keywords in English
Smart grids; demand response; energy usage optimization; weather forecast
Changed: 13/5/2020 19:32, RNDr. Pavel Šmerk, Ph.D.
Abstract
In the original language
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.
Links
MUNI/A/0997/2016, interní kód MU |
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