Predicting adoption to smart home energy management technology

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Keywords	technology acceptance, Smart home, load shifting, sustainability, machine learning
Thesis Advisor	abdelwahed, A.A.M., Ghiassi-Farrokhfal, Yashar
Persistent URL	hdl.handle.net/2105/47218
Series	Business Information Management
Organisation	Rotterdam School of Management
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Hollander, Wouter. (2019, February 21). Predicting adoption to smart home energy management technology. Business Information Management. Retrieved from http://hdl.handle.net/2105/47218

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