Probability-Density-Based Energy-Saving Recommendations for Household Refrigerating Appliances-Reference-Cited by-同舟云学术

Probability-Density-Based Energy-Saving Recommendations for Household Refrigerating Appliances

Published:2023-07-04 Issue: Volume: Page:
ISSN:
Container-title:ITISE 2023
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Author:

Rodríguez-Cuenca Francisco¹^ORCID,Sánchez-Úbeda Eugenio F.¹^ORCID,Portela José¹²^ORCID,Muñoz Antonio¹^ORCID,Guizien Víctor³^ORCID,Santiago Andrea Veiga³,González Alicia Mateo³

Affiliation:

1. Instituto de Investigación Tecnológica (IIT), Escuela Técnica Superior de Ingeniería ICAI, Universidad Pontificia Comillas, 28015 Madrid, Spain

2. Facultad de Ciencias Económicas y Empresariales, Universidad Pontificia Comillas, 28015 Madrid, Spain

3. Advanced Analytics Market Iberia, Endesa Energía, 28042 Madrid, Spain

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/39/1/43/pdf

Reference24 articles.

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2. Health and financial impacts of demand-side response measures differ across sociodemographic groups;White;Nat. Energy,2020

3. Messerli, P., Murniningtyas, E., Eloundou-Enyegue, P., Foli, E.G., Furman, E., Glassman, A., Hernández Licona, G., Kim, E.M., Lutz, W., and Moatti, J.P. (2019). Independent Group of Scientists appointed by the Secretary-General, Global Sustainable Development Report 2019: The Future is Now – Science for Achieving Sustainable Development, United Nations.

4. Ehrhardt-Martinez, K., Donnelly, K.A., and Laitner, S. (2010). Advanced Metering Initiatives and Residential Feedback Programs: A Meta-Review for Household Electricity-Saving Opportunities, American Council for an Energy-Efficient Economy.

5. Ridi, A., Gisler, C., and Hennebert, J. (2014, January 24–28). A survey on intrusive load monitoring for appliance recognition. Proceedings of the 2014 22nd international conference on pattern recognition, Stockholm, Sweden.