Optimal Charging Station Placement and Scheduling for Electric Vehicles in Smart Cities

F Alanazi, TO Alshammari, A Azam - Sustainability, 2023 - mdpi.com
Electric vehicles (EVs) have emerged as a transformative solution for reducing carbon
emissions and promoting environmental sustainability in the automotive industry. However …

Explainable artificial intelligence for decarbonization: Alternative fuel vehicle adoption in disadvantaged communities

AL Patwary, AJ Khattak - International Journal of Sustainable …, 2024 - Taylor & Francis
This article explores the adoption of alternative fuel vehicles (AFVs), leading to
decarbonization, in disadvantaged communities (DACs) by applying statistical and …

Exploring the NFT market on ethereum: a comprehensive analysis and daily volume forecasting

M Tang, X Feng, W Chen - Connection Science, 2023 - Taylor & Francis
With the popularity of Non-Fungible Tokens (NFTs), which has now become a financial
market that has attracted extensive attention worldwide. A large number of investors and …

The Impact of Environmental Pollution on Residents' Income Caused by the Imbalance of Regional Economic Development Based on Artificial Intelligence

B Ma - Sustainability, 2022 - mdpi.com
Regional economy is a human economic activity in a geographical region, a prominent and
sustainable economy with distinctive regional characteristics. Regional economy is …

Prediction of return on equity of the energy industry based on equity characteristics

Y Yang, Z Wang - Frontiers in Energy Research, 2023 - frontiersin.org
This paper mainly uses XGBoost model to predict the Return on equity of enterprises based
on equity characteristics. As one of the indicators to measure the operation and performance …

Prediction of storm surge in the Pearl River Estuary based on data-driven model

Q Tian, W Luo, Y Tian, H Gao, L Guo… - Frontiers in Marine …, 2024 - frontiersin.org
Storm surges, a significant coastal hazard, cause substantial damage to both property and
lives. Precise and efficient storm surge models are crucial for long-term risk assessment and …

Advancing state of charge management in electric vehicles with machine learning: a technological review

A Mousaei, Y Naderi, IS Bayram - IEEE Access, 2024 - ieeexplore.ieee.org
As the share of electric vehicles increases, electric vehicles are exposed to broader of
driving conditions (eg, extreme weather), which reduce the performance and driving ranges …

An intelligent partial charging navigation strategy for electric vehicles

J Xiao, B Sun, X Gao, H Yang… - Geo-spatial Information …, 2024 - Taylor & Francis
The rise of electric vehicles (EVs) has highlighted the issue of insufficient charging
infrastructure, a major barrier to their widespread adoption. This problem is due to the limited …

Data-Driven Analysis of EV Energy Prediction and Planning of EV Charging Infrastructure

A Palaniappan, P Bhukya, SK Chitti… - 2023 IEEE Ninth …, 2023 - ieeexplore.ieee.org
To reduce the current crisis on energy and environmental problems, the adoption of electric
vehicles is an effective way. But limited access and availability of charging infrastructure are …

Pre-Inpainting Convolutional Skip Triple Attention Segmentation Network for AGV Lane Detection in Overexposure Environment

Z Yang, X Yang, L Wu, J Hu, B Zou, Y Zhang, J Zhang - Applied Sciences, 2022 - mdpi.com
Visual navigation is an important guidance method for industrial automated guided vehicles
(AGVs). In the actual guidance, the overexposure environment may be encountered by the …