A Novel Model of Intelligent Electrical Load Management by Goal Programming for Smart Houses, Respecting Consumer Preferences

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Energy and Power Engineering

ISSN Print: 1949-243X
ISSN Online: 1947-3818
www.scirp.org/journal/epe
E-mail: epe@scirp.org

Google-based Impact Factor: 1.42
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"A Novel Model of Intelligent Electrical Load Management by Goal Programming for Smart Houses, Respecting Consumer Preferences"
written by Armin Dehnad, Hamed Shakouri Shakouri,
published by Energy and Power Engineering, Vol.5 No.10, 2013

has been cited by the following article(s):

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[4]	Overview of the current state of research on characteristics and algorithms of energy management systems in households and buildings International Journal of Energy Research, 2021 DOI:10.1002/er.6738

[5]	Overview of the current state of research on characteristics and algorithms of energy management systems in households and buildings International Journal of Energy Research, 2021 DOI:10.1002/er.6738

[6]	Application of genetic algorithms and the cross-entropy method in practical home energy management systems IET Renewable Power Generation, 2019 DOI:10.1049/iet-rpg.2018.6022

[7]	Application of genetic algorithms and the cross‐entropy method in practical home energy management systems IET Renewable Power Generation, 2019 DOI:10.1049/iet-rpg.2018.6022

[8]	Using Thermal Inertia of Buildings with Phase Change Material for Demand Response Energy Procedia, 2017 DOI:10.1016/j.egypro.2017.07.483

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[10]	Optimal behavior of responsive residential demand considering hybrid phase change materials Applied Energy, 2016 DOI:10.1016/j.apenergy.2015.11.013

[11]	Home energy management systems: A review of modelling and complexity Renewable and Sustainable Energy Reviews, 2015 DOI:10.1016/j.rser.2015.01.046

[12]	Design optimization and optimal control of grid-connected and standalone nearly/net zero energy buildings Applied Energy, 2015 DOI:10.1016/j.apenergy.2015.06.007

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