A survey of multi-criteria decision-making techniques for green logistics and low-carbon transportation systems

G Tian, W Lu, X Zhang, M Zhan, MA Dulebenets… - … Science and Pollution …, 2023 - Springer
With the increasing severity of environmental problems, low-carbon development has
become an inevitable choice. Nowadays, low-carbon green sustainable development is …

[HTML][HTML] Smart cities and sustainable development goals (SDGs): A systematic literature review of co-benefits and trade-offs

A Sharifi, Z Allam, SE Bibri, AR Khavarian-Garmsir - Cities, 2024 - Elsevier
Despite the wealth of research on smart cities, there is a lack of studies examining
interlinkages between smart cities and Sustainable Development Goals (SDGs). In other …

Low carbon technology for carbon neutrality in sustainable cities: A survey

WL Shang, Z Lv - Sustainable Cities and Society, 2023 - Elsevier
This work aims to study the role and current situation of Low-Carbon Technology (LCT) in
realizing urban Carbon Neutrality goals and Sustainable Urban Development (SUD). This …

Artificial intelligence-based solutions for climate change: a review

L Chen, Z Chen, Y Zhang, Y Liu, AI Osman… - Environmental …, 2023 - Springer
Climate change is a major threat already causing system damage to urban and natural
systems, and inducing global economic losses of over $500 billion. These issues may be …

[HTML][HTML] Artificial intelligence powered large-scale renewable integrations in multi-energy systems for carbon neutrality transition: Challenges and future perspectives

Z Liu, Y Sun, C Xing, J Liu, Y He, Y Zhou, G Zhang - Energy and AI, 2022 - Elsevier
The vigorous expansion of renewable energy as a substitute for fossil energy is the
predominant route of action to achieve worldwide carbon neutrality. However, clean energy …

Marine plastics, circular economy, and artificial intelligence: A comprehensive review of challenges, solutions, and policies

E Kowsari, S Ramakrishna, M Gheibi… - Journal of …, 2023 - Elsevier
Global plastic production is rapidly increasing, resulting in significant amounts of plastic
entering the marine environment. This makes marine litter one of the most critical …

An artificial intelligence based sustainable approaches—IoT systems for smart cities

N Yuvaraj, K Praghash, J Logeshwaran, G Peter… - AI Models for Blockchain …, 2023 - Springer
Abstract The Internet of Things (IoT) allows city officials to monitor the city in real time and
communicate smoothly with the community. Smart cities need to provide the best possible …

Prospects and challenges of the machine learning and data-driven methods for the predictive analysis of power systems: A review

W Strielkowski, A Vlasov, K Selivanov, K Muraviev… - Energies, 2023 - mdpi.com
The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …

Impact of digital twins and metaverse on cities: History, current situation, and application perspectives

Z Lv, WL Shang, M Guizani - Applied Sciences, 2022 - mdpi.com
To promote the expansion and adoption of Digital Twins (DTs) in Smart Cities (SCs), a
detailed review of the impact of DTs and digitalization on cities is made to assess the …

Towards nearly zero-energy buildings: Smart energy management of vehicle-to-building (V2B) strategy and renewable energy sources

KY Lo, JH Yeoh, IYL Hsieh - Sustainable Cities and Society, 2023 - Elsevier
As countries worldwide strive for net-zero emissions, electric vehicles (EVs) have gained
significant momentum. EVs, particularly through Vehicle-to-Everything (V2X) technology …