The use of evolutionary algorithms to optimize intelligent buildings electricity supply
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F13%3A00209983" target="_blank" >RIV/68407700:21110/13:00209983 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The use of evolutionary algorithms to optimize intelligent buildings electricity supply
Original language description
This paper formulates a unit commitment optimization problem for renewable energy sources distributed in a micro-grid formed by a complex of intelligent buildings of both office and residential characters, including a wide range of amenities. We presenta general description of the solution of this task using the simulated annealing heuristic optimization technique. The experiment was processed in the specialized computer program.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JE - Non-nuclear power engineering, energy consumption and utilization
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Neural Network World
ISSN
1210-0552
e-ISSN
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Volume of the periodical
5/2013
Issue of the periodical within the volume
23
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
17
Pages from-to
465-481
UT code for WoS article
000328097600006
EID of the result in the Scopus database
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