Neuro-fuzzy and networks-based data driven model for multi-charging scenarios of plug-in-electric vehicles

I Ahmed, M Rehan, A Basit, M Tufail, KS Hong - IEEE Access, 2023 - ieeexplore.ieee.org
In recent times, significant progress has been achieved in the domain of intelligent and eco-
friendly transportation. Electric mobility emerges as a viable and effective solution, offering …

[HTML][HTML] Hybrid coordination scheme based on fuzzy inference mechanism for residential charging of electric vehicles

S Hussain, RR Irshad, F Pallonetto, I Hussain… - Applied Energy, 2023 - Elsevier
The charging of electric vehicles (EVs) at residential premises is orchestrated through either
centralized or decentralized control mechanisms. The former emphasizes adherence to …

Service-quality based pricing approach for charging electric vehicles in smart energy communities

Y Wang, Y Xiang, H Hu, KW Lao, J Tong… - Journal of Cleaner …, 2023 - Elsevier
Guiding electric vehicles (EVs) in smart energy communities to participate in demand
response can significantly benefit users and the load aggregator. However, when the user's …

Uncertainties in model predictive control for decentralized autonomous demand side management of electric vehicles

MAST Ireshika, P Kepplinger - Journal of Energy Storage, 2024 - Elsevier
Optimal scheduling of electric vehicle charging is a non-trivial problem associated with
multiple sources of uncertainties. These uncertainties are often neglected in demand-side …

Enhancing the efficiency of electric vehicles charging stations based on novel fuzzy integer linear programming

S Hussain, RR Irshad, F Pallonetto… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The electric vehicles (EVs) charging stations (CSs) at public premises have higher
installation and power consumption costs. The potential benefits of public CSs rely on their …

[HTML][HTML] Orderly charging and discharging group scheduling strategy for electric vehicles

Y Yue, Q Zhang, J Zhang, Y Liu - Applied Sciences, 2023 - mdpi.com
To address the challenge of optimizing the real-time scheduling for electric vehicles on a
large scale, a day-ahead–intraday multi-timescale electric vehicle cluster division strategy is …

An intelligent buffalo-based secure edge-enabled computing platform for heterogeneous IoT network in smart cities

RR Irshad, S Hussain, I Hussain, I Ahmad… - IEEE …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) based smart city applications are the latest technology-driven
solutions designed to collect and analyze data to enhance the quality of life for urban …

[HTML][HTML] A privacy-preserving, two-party, secure computation mechanism for consensus-based peer-to-peer energy trading in the smart grid

Z Li, H Xu, F Zhai, B Zhao, M Xu, Z Guo - Sensors, 2022 - mdpi.com
Consumers in electricity markets are becoming more proactive because of the rapid
development of demand–response management and distributed energy resources, which …

[HTML][HTML] Energy Storage Charging Pile Management Based on Internet of Things Technology for Electric Vehicles

Z Li, X Wu, S Zhang, L Min, Y Feng, Z Hang, L Shi - Processes, 2023 - mdpi.com
The traditional charging pile management system usually only focuses on the basic
charging function, which has problems such as single system function, poor user …

Enhancing electric vehicle charging efficiency at the aggregator level: A deep-weighted ensemble model for wholesale electricity price forecasting

S Hussain, AP Teni, I Hussain, Z Hussain, F Pallonetto… - Energy, 2024 - Elsevier
The proliferation of electric vehicle (EV) adoption strains low-voltage distribution networks,
particularly in aggregated charging scenarios, prompting utility companies to incentivize …