[HTML][HTML] Data-driven charging demand prediction at public charging stations using supervised machine learning regression methods

A Almaghrebi, F Aljuheshi, M Rafaie, K James… - Energies, 2020 - mdpi.com
Plug-in Electric Vehicle (PEV) user charging behavior has a significant influence on a
distribution network and its reliability. Generally, monitoring energy consumption has …

Smart charging for zero emission vehicles–a comprehensive review

M Subashini, S Vijayan - Renewable Energy Focus, 2023 - Elsevier
Installation of refueling facilities for electric vehicles (EVs) in the range of conventional fuel
filling stations demands huge initial investments. It also necessitates the expansion of power …

Systematic Literature review on smart mobility: A framework for future “quantitative” developments

M Francini, L Chieffallo, A Palermo… - Journal of Planning …, 2021 - journals.sagepub.com
This work aims to reorganize theoretical and empirical research on smart mobility through
the systematic literature review approach. The research goal is to reach an extended and …

Integrating battery aging in the optimization for bidirectional charging of electric vehicles

K Schwenk, S Meisenbacher, B Briegel… - … on Smart Grid, 2021 - ieeexplore.ieee.org
Smart charging of Electric Vehicles (EVs) reduces operating cost, allows more sustainable
battery usage, and promotes the rise of electric mobility. In addition, bidirectional charging …

[HTML][HTML] A day ahead demand schedule strategy for optimal operation of microgrid with uncertainty

AR Battula, S Vuddanti, SR Salkuti - Smart Cities, 2023 - mdpi.com
A microgrid energy management system (EMS) with several generation and storage units is
crucial in attaining stable and reliable operation. Optimal scheduling of energy resources in …

Flexability-modeling and maximizing the bidirectional flexibility availability of unidirectional charging of large pools of electric vehicles

J Schlund, M Pruckner, R German - Proceedings of the eleventh ACM …, 2020 - dl.acm.org
We propose a new methodology for modeling flexibility availability (FlexAbility) of
decentralized electric loads, eg, electric vehicle charging, with an intuitive visualization …

Uncertainty modeling for participation of electric vehicles in collaborative energy consumption

N Hashemipour, J Aghaei… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This paper proposes an accurate and efficient probabilistic method for modeling the
nonlinear and complex uncertainty effects and mainly focuses on the Electric Vehicle (EV) …

[HTML][HTML] Energy anxiety in decentralized electricity markets: a critical review on EV models

N Gopinathan, PK Shanmugam - Energies, 2022 - mdpi.com
The automobile sector is a promising avenue for enhancing energy security, economic
opportunity, and air quality in India. Before penetrating a large number of electric vehicles …

A chance constraint microgrid energy management with phase balancing using electric vehicle demand aggregation

B Amrutha Raju, V Sandeep - Energy Sources, Part A: Recovery …, 2023 - Taylor & Francis
Microgrids are sustainable distribution systems which integrate plug-in electric vehicles
(EVs) and renewable energy sources to minimize grid dependency. The uncertainty in the …

Blockchain strategies and policies for sustainable electric mobility into Smart City

C Lazaroiu, M Roscia… - … Symposium on Power …, 2020 - ieeexplore.ieee.org
Electric vehicles (EVs) are spreading more and more in Europe, thanks to CO2 standards,
which require car manufacturers to reach an average sales share of 5% EV in 2020 and up …