D 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
Name: Aplikovaný výzkum na FI: vyhledávacích systémy, bezpečnost, vizualizace dat a virtuální realita.
Investor: Masaryk University, Applied research at FI: search systems, security, data visualization and virtual reality, Category A