Synthetic Data Generator for Electric Vehicle Charging Sessions: Modeling and Evaluation Using Real-World Data
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- Li, Xiaomin & Chen, Pu & Wang, Xingwu, 2017. "Impacts of renewables and socioeconomic factors on electric vehicle demands – Panel data studies across 14 countries," Energy Policy, Elsevier, vol. 109(C), pages 473-478.
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- Murat Akil & Emrah Dokur & Ramazan Bayindir, 2021. "The SOC Based Dynamic Charging Coordination of EVs in the PV-Penetrated Distribution Network Using Real-World Data," Energies, MDPI, vol. 14(24), pages 1-19, December.
- Andreas Reinhardt & Lucas Pereira, 2021. "Special Issue: “Energy Data Analytics for Smart Meter Data”," Energies, MDPI, vol. 14(17), pages 1-3, August.
- Winschermann, Leoni & Bañol Arias, Nataly & Hoogsteen, Gerwin & Hurink, Johann, 2023. "Assessing the value of information for electric vehicle charging strategies at office buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
- Vincent Barthel & Jonas Schlund & Philipp Landes & Veronika Brandmeier & Marco Pruckner, 2021. "Analyzing the Charging Flexibility Potential of Different Electric Vehicle Fleets Using Real-World Charging Data," Energies, MDPI, vol. 14(16), pages 1-16, August.
- Kazmi, Hussain & Munné-Collado, Íngrid & Mehmood, Fahad & Syed, Tahir Abbas & Driesen, Johan, 2021. "Towards data-driven energy communities: A review of open-source datasets, models and tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
- Yvenn Amara-Ouali & Yannig Goude & Pascal Massart & Jean-Michel Poggi & Hui Yan, 2021. "A Review of Electric Vehicle Load Open Data and Models," Energies, MDPI, vol. 14(8), pages 1-35, April.
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Keywords
smart grid; electric vehicle; synthetic data; exponential distribution; Poisson distribution; Gaussian mixture models; mathematical modeling; machine learning; simulation;All these keywords.
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