作者: Simin Ahmadi-Karvigh , Ali Ghahramani , Burcin Becerik-Gerber , Lucio Soibelman
DOI: 10.1016/J.APENERGY.2017.11.055
关键词: Artificial intelligence 、 Efficient energy use 、 Machine learning 、 Mixture model 、 Activity recognition 、 Energy consumption 、 Deductive reasoning 、 Computer science 、 Automation 、 Ontology (information science) 、 Building automation
摘要: … Since not all activities could be postponed (eg, certain office activities due to their effect on office workers’ productivity and convenience since peak hours are mainly after working hours)…