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 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	Horsten, D. (Damiën). (2018, June 7). A heating and cooling load benchmark model for a Dutch office building using an ANN approach. Business Information Management. Retrieved from http://hdl.handle.net/2105/42906

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