[HTML][HTML] Assessment of charging technologies, infrastructure and charging station recommendation schemes of electric vehicles: A review
This article comprehensively reviews recent Electric Vehicle (EV) charging infrastructure,
technology, and issues related to charging station identification. A literature study on the …
technology, and issues related to charging station identification. A literature study on the …
Charging infrastructure for commercial electric vehicles: Challenges and future works
The journey towards transportation electrification started with small electric vehicles (ie,
electric cars), which have enjoyed an increasing level of global interest in recent years …
electric cars), which have enjoyed an increasing level of global interest in recent years …
Impact of electric vehicle charging on the power demand of retail buildings
As electric vehicle penetration increases, charging is expected to have a significant impact
on the grid. Electric vehicle charging stations will greatly affect a building site's power …
on the grid. Electric vehicle charging stations will greatly affect a building site's power …
Dynamic pricing and energy management for profit maximization in multiple smart electric vehicle charging stations: A privacy-preserving deep reinforcement learning …
S Lee, DH Choi - Applied Energy, 2021 - Elsevier
Profit maximization of electric vehicle charging station (EVCS) operation yields an
increasing investment for the deployment of EVCSs, thereby increasing the penetration of …
increasing investment for the deployment of EVCSs, thereby increasing the penetration of …
Deep reinforcement learning-based charging pricing for autonomous mobility-on-demand system
The autonomous mobility-on-demand (AMoD) system plays an important role in the urban
transportation system. The charging behavior of AMoD fleet becomes a critical link between …
transportation system. The charging behavior of AMoD fleet becomes a critical link between …
Big data analysis technology for electric vehicle networks in smart cities
Z Lv, L Qiao, K Cai, Q Wang - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
To explore the electric vehicle networks in smart cities through big data analysis technology,
this study utilizes K-means and fuzzy theory in big data analysis technology to construct an …
this study utilizes K-means and fuzzy theory in big data analysis technology to construct an …
Pricing for electric vehicle charging stations based on the responsiveness of demand
Electric vehicles (EVs) have the promising potential to be effective in mitigating greenhouse
gas emissions in the transportation sector. Hence, the penetration of EVs in some countries …
gas emissions in the transportation sector. Hence, the penetration of EVs in some countries …
Optimal sizing design and operation of electrical and thermal energy storage systems in smart buildings
Photovoltaic (PV) systems in residential buildings require energy storage to enhance their
productivity; however, in present technology, battery storage systems (BSSs) are not the …
productivity; however, in present technology, battery storage systems (BSSs) are not the …
Dynamic pricing for EV charging stations: A deep reinforcement learning approach
Dynamic pricing, which aims to dynamically adjust the charging price in a timely fashion to
unlock the flexibility of electric vehicle (EV) customers, has been extensively studied with the …
unlock the flexibility of electric vehicle (EV) customers, has been extensively studied with the …
Optimal charging strategy for electric vehicles in residential charging station under dynamic spike pricing policy
L Gong, W Cao, K Liu, J Zhao - Sustainable Cities and Society, 2020 - Elsevier
Nowadays, much attention has been drawn to environmental protection. Traveling by
electric vehicles (EVs) instead of conventional fuel cars is strongly supported by national …
electric vehicles (EVs) instead of conventional fuel cars is strongly supported by national …