Proactive Smart Home Assistants for Automation—User Characteristic-Based Preference Prediction with Machine Learning Techniques-Reference-Cited by-同舟云学术

Proactive Smart Home Assistants for Automation—User Characteristic-Based Preference Prediction with Machine Learning Techniques

Published:2022-05-24 Issue: Volume: Page:
ISSN:
Container-title:Computing in Civil Engineering 2021
language:
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Author:

He Tianzhi¹²,Jazizadeh Farrokh¹²

Affiliation:

1. Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA.

2. Assistant Professor, Dept. of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784483893.034

Reference12 articles.

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3. Achieving better energy-efficient air conditioning–a review of technologies and strategies.;Chua K. J.;Applied Energy,2013

4. Research on differences in the factors influencing the energy-saving behavior of urban and rural residents in China–A case study of Jiangsu Province.;Ding Z.;Energy Policy,2017

5. Georgiev A. and Schlögl S. (2018). “Smart home technology: An exploration of end user perceptions.” Innovative Lösungen für eine alternde Gesellschaft: Konferenzbeiträge der SMARTER LIVES 18(20.02).

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