Evaluating drivers of the RET in Dutch municipalities: Predicting annual population-adjusted non-renewable energy consumption using consumer sentiment and characteristics, and RE investment data in the residential sector

Additional Metadata
Keywords	Renewable; energy transition; energy consumption; random forest; RF; gradient boosting; GBM; extreme gradient boosting; XGB; consumer sentiment; monetary policy; sociodemographic
Thesis Advisor	Karpienko, R
Persistent URL	hdl.handle.net/2105/69985
Series	Business Economics
Organisation	Erasmus School of Economics
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	Man, K.S. de. (2023). Evaluating drivers of the RET in Dutch municipalities: Predicting annual population-adjusted non-renewable energy consumption using consumer sentiment and characteristics, and RE investment data in the residential sector. In Business Economics.http://hdl.handle.net/2105/69985

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