[HTML][HTML] Ast-gin: Attribute-augmented spatiotemporal graph informer network for electric vehicle charging station availability forecasting
Electric Vehicle (EV) charging demand and charging station availability forecasting is one of
the challenges in the intelligent transportation system. With accurate EV station availability …
the challenges in the intelligent transportation system. With accurate EV station availability …
Protecting the future grid: An electric vehicle robust mitigation scheme against load altering attacks on power grids
Due to the growing threat of climate change, the world's governments have been
encouraging the adoption of Electric Vehicles (EVs). As a result, EV numbers have been …
encouraging the adoption of Electric Vehicles (EVs). As a result, EV numbers have been …
A survey of long short term memory and its associated models in sustainable wind energy predictive analytics
S Garg, R Krishnamurthi - Artificial Intelligence Review, 2023 - Springer
Sustainable energy is the new normal towards saving the environment, thus resources
generating sustainable green energy have gained global attention. Out of all the …
generating sustainable green energy have gained global attention. Out of all the …
[HTML][HTML] A data-driven framework for medium-term electric vehicle charging demand forecasting
The rapid phase-in of electric vehicles (EV) will cause unprecedented issues with managing
the supply of electricity and charging stations. It is in the interest of utility providers and …
the supply of electricity and charging stations. It is in the interest of utility providers and …
Short-term electric vehicle battery swapping demand prediction: Deep learning methods
Battery swap stations have become an important alternative to general charging posts.
Predicting battery swapping demand at the station level would be helpful for real-time …
Predicting battery swapping demand at the station level would be helpful for real-time …
Development of improved reinforcement learning smart charging strategy for electric vehicle fleet
Due to its environmental and energy sustainability, electric vehicles (EV) have emerged as
the preferred option in the current transportation system. Uncontrolled EV charging …
the preferred option in the current transportation system. Uncontrolled EV charging …
An advanced multi-objective collaborative scheduling strategy for large scale EV charging and discharging connected to the predictable wind power grid
C Zhang, W Yin, T Wen - Energy, 2024 - Elsevier
With the large-scale EV connected into the wind power grid, the intermittent, fluctuating and
stability bring rigorous challenges for power quality and dispatch, thus wind curtailment …
stability bring rigorous challenges for power quality and dispatch, thus wind curtailment …
[HTML][HTML] Metaheruistic optimization based Ensemble machine learning model for designing Detection Coil with prediction of electric vehicle charging time
A Alshammari, RC Chabaan - Sustainability, 2023 - mdpi.com
An efficient charging time forecasting reduces the travel disruption that drivers experience as
a result of charging behavior. Despite the machine learning algorithm's success in …
a result of charging behavior. Despite the machine learning algorithm's success in …
A physics-informed graph learning approach for citywide electric vehicle charging demand prediction and pricing
A growing number of electric vehicles (EVs) is putting pressure on smart charging services.
As a foundation of informing drivers of vacant charging facilities and rationalizing pricing, an …
As a foundation of informing drivers of vacant charging facilities and rationalizing pricing, an …
[HTML][HTML] Smart scheduling of electric vehicles based on reinforcement learning
As the policies and regulations currently in place concentrate on environmental protection
and greenhouse gas reduction, we are steadily witnessing a shift in the transportation …
and greenhouse gas reduction, we are steadily witnessing a shift in the transportation …