Online learning for personalized room-level thermal control: A multi-armed bandit framework

BuildSys 2013 - Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings

Volumn , Issue , 2013, Pages

  Mansourifard, Parisa ^a   Jazizadeh, Farrokh ^a   Krishnamachari, Bhaskar ^a   Becerik Gerber, Burcin ^a  

^a University of Southern California   (United States)

Author keywords

Online Learning; Personalized Control; Thermal Comfort

Indexed keywords

E-LEARNING; EMBEDDED SYSTEMS; ENERGY EFFICIENCY; HUMAN COMPUTER INTERACTION; INTELLIGENT BUILDINGS; OFFICE BUILDINGS; STOCHASTIC SYSTEMS; TESTBEDS; THERMAL VARIABLES CONTROL;

MULTI ARMED BANDIT; ONLINE LEARNING ALGORITHMS; PARTICIPATORY SENSING; PARTICIPATORY SENSING APPLICATIONS; POLYNOMIAL NUMBER; PRIOR KNOWLEDGE; SOUTHERN CALIFORNIA; TIME SATISFACTIONS;

LEARNING ALGORITHMS;

EID: 85085943536     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2528282.2528296     Document Type: Conference Paper

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