Recent advances in applications of artificial intelligence in solid waste management: A review
Efficient management of solid waste is essential to lessen its potential health and
environmental impacts. However, the current solid waste management practices encounter …
environmental impacts. However, the current solid waste management practices encounter …
Analyzing the role of renewable energy transition and industrialization on ecological sustainability: can green innovation matter in OECD countries
J Liao, X Liu, X Zhou, NR Tursunova - Renewable Energy, 2023 - Elsevier
This research investigates the influence of renewable energy transition, industrialization,
and green innovation on the ecological sustainability of selected OECD countries using …
and green innovation on the ecological sustainability of selected OECD countries using …
Employing bibliometric analysis to identify the current state of the art and future prospects of electric vehicles
Electric vehicles (EVs) are rapidly becoming a sustainable and viable mode of future
transportation due to their multitude of advantages, such as reduced CO2 emissions, local …
transportation due to their multitude of advantages, such as reduced CO2 emissions, local …
Modeling of machine learning with SHAP approach for electric vehicle charging station choice behavior prediction
Growing electric mobility makes it difficult for electric vehicles (EVs) to charge adequately
while charging infrastructure capacities are limited. Due to the prolonged charging times …
while charging infrastructure capacities are limited. Due to the prolonged charging times …
Identifying intention-based factors influencing consumers' willingness to pay for electric vehicles: a sustainable consumption paradigm
S Zheng, H Liu, W Guan, Y Yang, J Li, S Fahad, B Li - Sustainability, 2022 - mdpi.com
In an effort to reduce environmental pollution and energy consumption, the Chinese
government strongly promotes the usage of electric vehicles. However, studies focusing on …
government strongly promotes the usage of electric vehicles. However, studies focusing on …
[HTML][HTML] Deep learning from three-dimensional Lithium-ion battery multiphysics model Part II: Convolutional neural network and long short-term memory integration
Abstract Lithium-ion (Li-ion) batteries have emerged as a cornerstone of electric vehicles
(EVs), enabling the road transportation towards net zero. The success of electric vehicles …
(EVs), enabling the road transportation towards net zero. The success of electric vehicles …
Two-stage meta-ensembling machine learning model for enhanced water quality forecasting
Accurate short-term forecasting of water quality variables (WQVs) such as dissolved oxygen
(DO) and chlorophyll-a (Chl-a) is crucial for the effective management of aquatic resources …
(DO) and chlorophyll-a (Chl-a) is crucial for the effective management of aquatic resources …
Uncertainty analysis of photovoltaic power generation system and intelligent coupling prediction
GF Fan, YW Feng, LL Peng, HP Huang, WC Hong - Renewable Energy, 2024 - Elsevier
Accurate prediction of photovoltaic power generation is essential to promoting the active
consumption and low-carbon protection. The complex uncertainty of the photovoltaic system …
consumption and low-carbon protection. The complex uncertainty of the photovoltaic system …
Prediction of carbon dioxide emissions in China using shallow learning with cross validation
Y Hou, Q Wang, T Tan - Energies, 2022 - mdpi.com
Accurately measuring carbon dioxide (CO2) emissions is critical for effectively implementing
carbon reduction policies, and China's increased investment in reducing CO2 emissions is …
carbon reduction policies, and China's increased investment in reducing CO2 emissions is …
A large-scale empirical study on impacting factors of taxi charging station utilization
Charging station planning is critical in the implementation of public transport electrification.
However, in cities, there is insufficient experience and knowledge of the factors that …
However, in cities, there is insufficient experience and knowledge of the factors that …