Understanding the residential energy sector and making it more sustainable: A machine learning approach

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Keywords	machine learning, residential, energy, prediction, simulation, peak
Thesis Advisor	abdelwahed, A.A.M., Cornelius, P.B.
Persistent URL	hdl.handle.net/2105/51459
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	Stoev, Stoyko. (2020, February 6). Understanding the residential energy sector and making it more sustainable: A machine learning approach. Business Information Management. Retrieved from http://hdl.handle.net/2105/51459

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