A More Renewable-Friendly Electrical Grid: Thermal Storage Refrigeration for Demand Response in California and Denmark

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ISSN Print: 2151-481X
ISSN Online: 2151-4844
www.scirp.org/journal/sgre
E-mail: sgre@scirp.org

"A More Renewable-Friendly Electrical Grid: Thermal Storage Refrigeration for Demand Response in California and Denmark"
written by Kurt Kornbluth, John Cook, Paul Erickson,
published by Smart Grid and Renewable Energy, Vol.3 No.4, 2012

has been cited by the following article(s):

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[3]	Opportunities for behavioral energy efficiency and flexible demand in data-limited low-carbon resource constrained environments
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[4]	Demand-Side Knowledge for Sustainable Decarbonization in Resource Constrained Environments: Applied Research at the Intersection of Behavior, Data …
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[5]	Enabling Micro-level Demand-Side Grid Flexiblity in Resource Constrained Environments
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[6]	Increasing Grid Flexibility Through Improved Electricity Demand Prediction in Nicaragua
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[7]	Reducing a semiarid city's peak electrical demand using distributed cold thermal energy storage
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[8]	Technical resource potential of non-disruptive residential demand response in Denmark
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[1]	The Load Shifting Potential of Domestic Refrigerators in Smart Grids: A Comprehensive Review Energies, 2022 DOI:10.3390/en15207666

[2]	The Load Shifting Potential of Domestic Refrigerators in Smart Grids: A Comprehensive Review Energies, 2022 DOI:10.3390/en15207666

[3]	Enabling Micro-level Demand-Side Grid Flexiblity in Resource Constrained Environments Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, 2017 DOI:10.1145/3054977.3054984

[4]	Enabling Micro-level Demand-Side Grid Flexiblity in Resource Constrained Environments Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, 2017 DOI:10.1145/3054977.3054984

[5]	Increasing Grid Flexibility Through Improved Electricity Demand Prediction in Nicaragua 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), 2015 DOI:10.1109/ICMLA.2015.40

[6]	Increasing Grid Flexibility Through Improved Electricity Demand Prediction in Nicaragua 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), 2015 DOI:10.1109/ICMLA.2015.40

[7]	Reducing a semiarid city’s peak electrical demand using distributed cold thermal energy storage Applied Energy, 2014 DOI:10.1016/j.apenergy.2014.07.096

[8]	Technical resource potential of non-disruptive residential demand response in Denmark 2014 IEEE PES General Meeting \| Conference & Exposition, 2014 DOI:10.1109/PESGM.2014.6938939

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