Applying Agents and Genetic Algorithms for Reducing Peak Consumption in District Heating

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F15%3A00237577" target="_blank" >RIV/68407700:21730/15:00237577 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-319-22867-9_18" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-22867-9_18</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-22867-9_18" target="_blank" >10.1007/978-3-319-22867-9_18</a>

Result language
angličtina
Original language name
Applying Agents and Genetic Algorithms for Reducing Peak Consumption in District Heating
Original language description
Abstract Energy efficiency and occupant's comfort are two primary concerns for evaluating the performance of a building control system. This paper introduces an optimization method based on integration of genetic algorithms for local optimization and agent-based approach for integration of the locally optimal solution into a global solution that is close to the global optimum. The approach is validated on a case study that models a cluster of eight buildings sharing resources of a district heating system.
Czech name
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Czech description
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Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 7th International Conference on Industrial Applications of Holonic and Multi-Agent Systems (HoloMAS 2015)
ISBN
978-3-319-22866-2
ISSN
0302-9743
e-ISSN
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Number of pages
11
Pages from-to
206-216
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Valencia
Event date
Sep 2, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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