Building machine learning models to predict and benchmark the hourly energy consumption of a building

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Keywords	Energy management, Buildings, machine learning, prediction, benchmark
Thesis Advisor	Ghiassi-Farrokhfal, Yashar, Matheus, Ricardo
Persistent URL	hdl.handle.net/2105/49118
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	Verwaaijen, Jesse. (2019, August 9). Building machine learning models to predict and benchmark the hourly energy consumption of a building. Business Information Management. Retrieved from http://hdl.handle.net/2105/49118

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