A Multi-Objective Improved Cockroach Swarm Algorithm Approach for Apartment Energy Management Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F23%3A50020816" target="_blank" >RIV/62690094:18450/23:50020816 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2078-2489/14/10/521" target="_blank" >https://www.mdpi.com/2078-2489/14/10/521</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/info14100521" target="_blank" >10.3390/info14100521</a>
Alternative languages
Result language
angličtina
Original language name
A Multi-Objective Improved Cockroach Swarm Algorithm Approach for Apartment Energy Management Systems
Original language description
The electrical demand and generation in power systems is currently the biggest source of uncertainty for an electricity provider. For a dependable and financially advantageous electricity system, demand response (DR) success as a result of household appliance energy management has attracted significant attention. Due to fluctuating electricity rates and usage trends, determining the best schedule for apartment appliances can be difficult. As a result of this context, the Improved Cockroach Swarm Optimization Algorithm (ICSOA) is combined with the Innovative Apartments Appliance Scheduling (IAAS) framework. Using the proposed technique, the cost of electricity reduction, user comfort maximization, and peak-to-average ratio reduction are analyzed for apartment appliances. The proposed framework is evaluated by comparing it with BFOA and W/O scheduling cases. In comparison to the W/O scheduling case, the BFOA method lowered energy costs by 17.75%, but the ICSA approach reduced energy cost by 46.085%. According to the results, the created ICSA algorithm performed better than the BFOA and W/O scheduling situations in terms of the stated objectives and was advantageous to both utilities and consumers.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
INFORMATION
ISSN
2078-2489
e-ISSN
2078-2489
Volume of the periodical
14
Issue of the periodical within the volume
10
Country of publishing house
CH - SWITZERLAND
Number of pages
28
Pages from-to
"Article Number: 521"
UT code for WoS article
001089533900001
EID of the result in the Scopus database
2-s2.0-85175079980