Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers
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References listed on IDEAS
- Matteo Muratori, 2018. "Impact of uncoordinated plug-in electric vehicle charging on residential power demand," Nature Energy, Nature, vol. 3(3), pages 193-201, March.
- Shin-Ki Hong & Sung Gu Lee & Myungchin Kim, 2020. "Assessment and Mitigation of Electric Vehicle Charging Demand Impact to Transformer Aging for an Apartment Complex," Energies, MDPI, vol. 13(10), pages 1-23, May.
- Wenyu Sun & Ya-Xiang Yuan, 2006. "Optimization Theory and Methods," Springer Optimization and Its Applications, Springer, number 978-0-387-24976-6, June.
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- Roy, Avipsa & Law, Mankin, 2022. "Examining spatial disparities in electric vehicle charging station placements using machine learning," SocArXiv hvw2t, Center for Open Science.
- Héricles Eduardo Oliveira Farias & Camilo Alberto Sepulveda Rangel & Leonardo Weber Stringini & Luciane Neves Canha & Daniel Pegoraro Bertineti & Wagner da Silva Brignol & Zeno Iensen Nadal, 2021. "Combined Framework with Heuristic Programming and Rule-Based Strategies for Scheduling and Real Time Operation in Electric Vehicle Charging Stations," Energies, MDPI, vol. 14(5), pages 1-27, March.
- Seyedamin Valedsaravi & Abdelali El Aroudi & Luis Martínez-Salamero, 2022. "Review of Solid-State Transformer Applications on Electric Vehicle DC Ultra-Fast Charging Station," Energies, MDPI, vol. 15(15), pages 1-35, August.
- Peter Makeen & Hani A. Ghali & Saim Memon, 2022. "Theoretical and Experimental Analysis of a New Intelligent Charging Controller for Off-Board Electric Vehicles Using PV Standalone System Represented by a Small-Scale Lithium-Ion Battery," Sustainability, MDPI, vol. 14(12), pages 1-16, June.
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Keywords
coordinated electric vehicles charging; cyber-physical systems (CPSs); Decision Tree (DT); Deep Neural Network (DNN); electric vehicles charging stations (EVCS); K-Nearest Neighbors (KNN); Long Short-Term Memory (LSTM); machine learning (ML); Naïve Bayes (NB); power rating (PR); Random Forest (RF); Recurrent Neural Networks (RNN); smart grid; Support Vector Machine (SVM);All these keywords.
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