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Intelligent Scheduling of Heat Pump to Minimize the Cost of Electricity

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F20%3A50017475" target="_blank" >RIV/62690094:18470/20:50017475 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/EPE51172.2020.9269163" target="_blank" >http://dx.doi.org/10.1109/EPE51172.2020.9269163</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/EPE51172.2020.9269163" target="_blank" >10.1109/EPE51172.2020.9269163</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Intelligent Scheduling of Heat Pump to Minimize the Cost of Electricity

  • Original language description

    Space heating is responsible for a significant portion of energy consumption in the residential sector. As such, space heating has a great potential for energy savings. The heat pump is an important energy conservation option that allows modification of residential energy demand profile and subsequent reduction of electricity consumption and costs. Living comfort of the residents is the other side of the coin that also must be considered during the heating optimization process. This article presents an intelligent approach to heat pump scheduling problem based on metaheuristic optimization algorithms. In particular, we consider mutation-based binary particle swarm optimization and genetic algorithm. Simulation results confirm that the proposed approach can optimize the heat pump scheduling task without sacrificing the thermal comfort of residents.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    21st International Scientific Conference on Electric Power Engineering (EPE)

  • ISBN

    978-1-72819-479-0

  • ISSN

    2376-5631

  • e-ISSN

    2376-5631

  • Number of pages

    6

  • Pages from-to

    "Article number 9269163"

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Prague

  • Event date

    Oct 19, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article