In this section
Several of our current PhD candidates and fellow researchers at the Data Science Institute have published, or in the proccess of publishing, papers to present their research.
蔼补谤迟颈肠濒别调骋贸尘别锄-搁辞尘别谤辞:2018:10.3390/蝉耻10093053,
author = {G贸mez-Romero, J and Molina-Solana, M and Ros, M and Ruiz, MD and Martin-Bautista, MJ},
doi = {10.3390/su10093053},
journal = {Sustainability},
title = {Comfort as a service: a new paradigm for residential environmental quality control},
url = {http://dx.doi.org/10.3390/su10093053},
volume = {10},
year = {2018}
}
TY - JOUR
AB - This paper introduces the concept of Comfort as a Service (CaaS), a new energy supply paradigm for providing comfort to residential customers. CaaS takes into account the available passive and active elements, the external factors that affect energy consumption and associated costs, and occupants' behaviors to generate optimal control strategies for the domestic equipment automatically. As a consequence, it releases building occupants from operating the equipment, which gives rise to a disruption of the traditional model of paying per consumed energy in favor of a model of paying per provided comfort. In the paper, we envision a realization of CaaS based on several technologies such as ambient intelligence, big data, cloud computing and predictive computing. We discuss the opportunities and the barriers of CaaS-centered business and exemplify the potential of CaaS deployments by quantifying the expected energy savings achieved after limiting occupants' control over the air conditioning system in a test scenario.
AU - G贸mez-Romero,J
AU - Molina-Solana,M
AU - Ros,M
AU - Ruiz,MD
AU - Martin-Bautista,MJ
DO - 10.3390/su10093053
PY - 2018///
SN - 1937-0709
TI - Comfort as a service: a new paradigm for residential environmental quality control
T2 - Sustainability
UR - http://dx.doi.org/10.3390/su10093053
VL - 10
ER -
Data Science Imperial
William Penney Laboratory
天美传媒
South Kensington Campus
London SW7 2AZ
United Kingdom
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