Predicting winning and losing businesses when changing electricity tariffs
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DOI: 10.1016/j.apenergy.2014.07.098
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- Ibtihal Abdelmotteleb & Tomás Gómez & Javier Reneses, 2017. "Evaluation Methodology for Tariff Design under Escalating Penetrations of Distributed Energy Resources," Energies, MDPI, vol. 10(6), pages 1-16, June.
- Tebello Mathaba & Xiaohua Xia, 2015. "A Parametric Energy Model for Energy Management of Long Belt Conveyors," Energies, MDPI, vol. 8(12), pages 1-19, December.
- Schwartz, Demitrius & Batabyal, Amitrajeet, 2023. "The Decision to Install a Rooftop Photovoltaic System by a Small Business: A Case Study," MPRA Paper 120361, University Library of Munich, Germany, revised 01 Mar 2024.
- Pihnastyi, Oleh & Chernіavska, Svіtlana, 2022. "Improvement of methods for description of a three-bunker collection conveyor," MPRA Paper 115529, University Library of Munich, Germany, revised 15 Oct 2022.
- Pihnastyi, Oleh & Khodusov, Valery, 2020. "Development of the controlling speed algorithm of the conveyor belt based on TOU-tariffs," MPRA Paper 104681, University Library of Munich, Germany, revised 12 Nov 2020.
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Keywords
Energy; Tariff switching; Classification; Neural Networks; Support Vector Machines; Regression models;All these keywords.
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