Electric vehicle charging service operations: A review of machine learning applications for infrastructure planning, control, pricing and routing

N Fescioglu-Unver, MY Aktaş - Renewable and Sustainable Energy …, 2023 - Elsevier
The majority of global road transportation emissions come from passenger and freight
vehicles. Electric vehicles (EV) provide a sustainable transportation way, but customers' …

[PDF][PDF] Analysis of electric vehicle charging station usage and profitability in Germany based on empirical data

C Hecht, J Figgener, DU Sauer - Iscience, 2022 - cell.com
This paper provides empirical data and a profitability estimation of public charging
infrastructure usage in Germany. Given that, in Germany, there are now 2.5 times as many …

[HTML][HTML] Real-time internet of medical things framework for early detection of Covid-19

E Yildirim, M Cicioğlu, A Çalhan - Neural Computing and Applications, 2022 - Springer
The Covid-19 pandemic is a deadly epidemic and continues to affect all world. This situation
dragged the countries into a global crisis and caused the collapse of some health systems …

The technological emergence of automl: A survey of performant software and applications in the context of industry

A Scriven, DJ Kedziora, K Musial, B Gabrys - arXiv preprint arXiv …, 2022 - arxiv.org
With most technical fields, there exists a delay between fundamental academic research and
practical industrial uptake. Whilst some sciences have robust and well-established …

[HTML][HTML] Data-Driven, Short-Term Prediction of Charging Station Occupation

R Aghsaee, C Hecht, F Schwinger, J Figgener, M Jarke… - Electricity, 2023 - mdpi.com
Enhancing electric vehicle infrastructure by forecasting the availability of charging stations
can boost the attractiveness of electric vehicles. The transportation sector plays a crucial role …

Artificial Neural Network and Game Theory for Secure Optimal Charging Station Selection for EVs

R Kakkar, A Kumari, R Gupta… - IEEE INFOCOM 2023 …, 2023 - ieeexplore.ieee.org
The penetration of electric vehicles (EV s) entails the deployment of more charging station
(CS) infrastructure to realize the charging requirement issues of the EV s. But, limited …

Prediction of electric vehicle charging stations distribution using machine learning

MC El Rai, SA Hadi, HA Damis… - 2022 5th International …, 2022 - ieeexplore.ieee.org
Electric vehicles (EV) are becoming more mainstream as consumer purchasing choices are
in favor of this innovative technology. Hence, there is a need to install new electric vehicle …

The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry

A Scriven, DJ Kedziora, K Musial… - … and Trends® in …, 2023 - nowpublishers.com
With most technical fields, there exists a delay between fundamental academic research and
practical industrial uptake. Whilst some sciences have robust and well-established …

[PDF][PDF] Communication frame work in an electric vehicle charging station supporting solar energy management

V George, P Dixit, S Dawnee, K Agarwal… - Indonesian Journal of …, 2022 - researchgate.net
Exploiting Renewable energy to the maximum extent possible in an electric vehicle charging
station (EVCS) is the key in supporting the anticipated carbon reduction from the electric …

[HTML][HTML] Probabilistic forecast of electric vehicle charging demand: analysis of different aggregation levels and energy procurement

A Ostermann, T Haug - Energy Informatics, 2024 - energyinformatics.springeropen.com
Electric vehicles (EVs) are expected to be vital in transitioning to a low-carbon energy
system. However, integrating EVs into the power grid poses significant challenges for grid …