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 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	Man, K.S. de. (2023, December 13). 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. Business Economics. Retrieved from http://hdl.handle.net/2105/69985

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