Optimal Loads Scheduling Using the Intelligent Optimization Approach

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F24%3A50021618" target="_blank" >RIV/62690094:18450/24:50021618 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1063/5.0191713" target="_blank" >http://dx.doi.org/10.1063/5.0191713</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1063/5.0191713" target="_blank" >10.1063/5.0191713</a>

Result language
angličtina
Original language name
Optimal Loads Scheduling Using the Intelligent Optimization Approach
Original language description
Because of the need for energy growing exponentially, prices are constantly going up, which impacts both residential and business consumers. Researchers are looking for workable solutions to this problem, such as off-peak scheduling that reduces peak energy consumption while maintaining reasonable energy costs. The system design issues that regulate decision-making for the best operation management are optimized in this research using an Improved Crow Search Algorithm (ICSA). The simulation's results show that the suggested algorithm-based ICSA reduces carbon emissions, peak-to-average ratio (PAR), and electricity costs. Using the ICSA method, the scheduling controller suggested in this study was successful in achieving an energy savings of 30.58%. © 2024 American Institute of Physics Inc.. All rights reserved.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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