A heating and cooling load benchmark model for a Dutch office building using an ANN approach

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Keywords	prediction, artificial neural networks, heating/cooling load, energy demand, benchmark model
Thesis Advisor	Brandt, T. (Tobias), Ketter, W.
Persistent URL	hdl.handle.net/2105/42906
Series	Business Information Management
Organisation	Rotterdam School of Management
Citation APA APA Style APA-ALL Style AAA 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	Horsten, D. (Damiën). (2018). A heating and cooling load benchmark model for a Dutch office building using an ANN approach. In Business Information Management.http://hdl.handle.net/2105/42906

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