Duck-curve mitigation in power grids with high penetration of PV generation

I Calero, CA Canizares… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Small-scale PV generation has become popular with residential customers in several
jurisdictions with high solar radiation, as an alternative to improve their carbon footprint and …

A bi-level optimization model for electric vehicle charging strategy based on regional grid load following

X Yang, D Niu, L Sun, Z Ji, J Zhou, K Wang… - Journal of Cleaner …, 2021 - Elsevier
Because a greater proportion of large-scale electric vehicles (EVs) are connected to the grid,
their stochastic charging load has a significant impact on the power quality and economic …

[HTML][HTML] Comparison of electric vehicle load forecasting across different spatial levels with incorporated uncertainty estimation

W Khan, W Somers, S Walker, K de Bont… - Energy, 2023 - Elsevier
Accurate load forecasting is important to mitigate the negative impact of Electric vehicle
integration into the existing grid. Previous studies mostly focus on individual or aggregated …

[HTML][HTML] Charging scheduling in a workplace parking lot: Bi-objective optimization approaches through predictive analytics of electric vehicle users' charging behavior

M Shariatzadeh, CH Antunes, MAR Lopes - Sustainable Energy, Grids and …, 2024 - Elsevier
Decarbonization of the transportation sector relies on the widespread adoption of Electric
Vehicles (EVs) and appropriate charging strategies. However, uncoordinated EV charging …

Duck curve aware dynamic pricing and battery scheduling strategy using reinforcement learning

D Watari, I Taniguchi, T Onoye - IEEE Transactions on Smart …, 2023 - ieeexplore.ieee.org
The duck curve is becoming a global problem in energy technology due to the rapid
increase in solar power adoption and the rise of prosumers. To address this issue, a …

Electric Vehicles: A Comprehensive Review of Technologies, Integration, Adoption, and Optimization

U Fesli, MB Ozdemir - IEEE Access, 2024 - ieeexplore.ieee.org
The transport sector has experienced a boom in electric mobility over the past decade as it
moves towards a more sustainable future associated with the Sustainable Development …

Feedback controlled resource management model for express service in electric vehicle charging stations

N Fescioglu-Unver, MY Aktaş, C Kasnakoğlu - Journal of Cleaner …, 2021 - Elsevier
The number of electric vehicles on the roads is increasing globally. However, the charging
duration of electric vehicles is long, and the number and capacity of fast charging public …

Pricing-based distributed control of fast EV charging stations operating under cold weather

IS Bayram, S Galloway - IEEE Transactions on Transportation …, 2021 - ieeexplore.ieee.org
As the electric vehicle (EV) adoption rates increase, there is a pressing need for designing
charging stations that account for heterogeneity (eg, charging rates and duration) in EV …

Deep Transfer Learning for Detecting Electric Vehicles Highly-Correlated Energy Consumption Parameters

Z Teimoori, A Yassine, C Lu - IEEE Transactions on Artificial …, 2024 - ieeexplore.ieee.org
Implementation of advanced intelligent deep learning techniques for Electric Vehicles (EVs)
energy consumption analysis is obstructed by two main subjects. First, the problem of finding …

Could petrol stations play a key role in transportation electrification? a gis-based coverage maximization of fast ev chargers in urban environment

IS Bayram, U Zafar, S Bayhan - IEEE Access, 2022 - ieeexplore.ieee.org
To achieve net-zero in the transportation sector, there is a need to deploy public electric
vehicle (EV) fast chargers to boost customer confidence. Currently, charge point operators …