Review on scheduling, clustering, and forecasting strategies for controlling electric vehicle charging: Challenges and recommendations
The usage and adoption of electric vehicles (EVs) have increased rapidly in the 21st century
due to the shifting of the global energy demand away from fossil fuels. The market …
due to the shifting of the global energy demand away from fossil fuels. The market …
Assessment of electric vehicle charging infrastructure and its impact on the electric grid: A review
Electric vehicles (EVs) have a huge potential to dominate over the conventional combustion
engine vehicles and become the future of road transport while conserving this planet from …
engine vehicles and become the future of road transport while conserving this planet from …
Multinodes interval electric vehicle day-ahead charging load forecasting based on joint adversarial generation
N Huang, Q He, J Qi, Q Hu, R Wang, G Cai… - International Journal of …, 2022 - Elsevier
The spatial–temporal distribution of electric vehicle (EV) charging load has strong
randomness and is affected by battery capacity and user behavior. In addition, the multinode …
randomness and is affected by battery capacity and user behavior. In addition, the multinode …
Data-driven charging demand prediction at public charging stations using supervised machine learning regression methods
Plug-in Electric Vehicle (PEV) user charging behavior has a significant influence on a
distribution network and its reliability. Generally, monitoring energy consumption has …
distribution network and its reliability. Generally, monitoring energy consumption has …
An ensemble methodology for hierarchical probabilistic electric vehicle load forecasting at regular charging stations
Transportation electrification is a valid option for supporting decarbonization efforts but, at
the same time, the growing number of electric vehicles will produce new and unpredictable …
the same time, the growing number of electric vehicles will produce new and unpredictable …
Smart charging business model framework for electric vehicle aggregators
The massive, uncontrolled charging of numerous plug-in electric vehicles is expected to
have an adverse impact on the reliable operation of the electricity networks. The flexible and …
have an adverse impact on the reliable operation of the electricity networks. The flexible and …
[HTML][HTML] Electrification of personal vehicle travels in cities-Quantifying the public charging demand
Charging electric vehicles is regarded as trivial with chargers installed on private property,
which could accommodate the demand of 78% of the Danish cars. Hence, the owners would …
which could accommodate the demand of 78% of the Danish cars. Hence, the owners would …
Predicting popularity of electric vehicle charging infrastructure in urban context
The availability of charging infrastructure is essential for large-scale adoption of electric
vehicles (EV). Charging patterns and the utilization of infrastructure have consequences not …
vehicles (EV). Charging patterns and the utilization of infrastructure have consequences not …
Electric vehicle load forecasting: A comparison between time series and machine learning approaches
Transport systems are expected to widely shift towards electric propulsion in the next
decade. The diffusion of Electrical Vehicles (EVs) however creates great challenges; among …
decade. The diffusion of Electrical Vehicles (EVs) however creates great challenges; among …
Electric vehicles load forecasting for day-ahead market participation using machine and deep learning methods
As the significance of participation in the Day-Ahead Market (DAM) for stakeholders
managing the charging of Electric Vehicle (EV) fleets increases, the necessity for precise EV …
managing the charging of Electric Vehicle (EV) fleets increases, the necessity for precise EV …