Digital economy development and enterprise investment – a quasi-natural experiment from the pilot strategy of “broadband China” DOI
Jiqiang Huang, Jizhe Zhang

Journal of the Asia Pacific Economy, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 28

Published: July 8, 2024

Language: Английский

Effectiveness of energy depletion, green growth, and technological cooperation grants on CO2 emissions in Pakistan's perspective DOI
Boqiang Lin, Sami Ullah

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 906, P. 167536 - 167536

Published: Oct. 2, 2023

Language: Английский

Citations

42

Planetary health issues in the developing world: Dynamics between transportation systems, sustainable economic development, and CO2 emissions DOI
Rudra P. Pradhan,

Mahendhiran S. Nair,

John H. Hall

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 449, P. 140842 - 140842

Published: Feb. 9, 2024

Language: Английский

Citations

24

Policy implications for synergistic management of PM2.5 and O3 pollution from a pattern-process-sustainability perspective in China DOI

Shenwen Du,

Chao He, Lu Zhang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 916, P. 170210 - 170210

Published: Jan. 20, 2024

Language: Английский

Citations

22

Towards sustainability: How does the digital-real integration affect regional green development efficiency? DOI
Baoliu Liu, Yujie Huang,

Mengmei Chen

et al.

Economic Analysis and Policy, Journal Year: 2024, Volume and Issue: 83, P. 42 - 59

Published: June 12, 2024

Language: Английский

Citations

14

Energy Harvesting and Smart Highways for Sustainable Transportation Infrastructure DOI

Mohanraj Gopal,

J. Lurdhumary,

S. Bathrinath

et al.

Advances in civil and industrial engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 136 - 165

Published: June 24, 2024

The chapter explores the integration of nanotechnology, energy harvesting, and smart highways into global transportation infrastructure, aiming to create sustainable efficient systems. Nanotechnology enhances road surface durability functionality, offering increased strength, resilience, self-healing properties. Energy harvesting techniques, such as piezoelectric solar technologies, harness kinetic from vehicular motion sunlight, powering streetlights, even grid. Smart highways, enabled by interconnected sensors communication systems, monitor traffic flow, adjust speed limits, provide real-time updates, autonomously manage These innovations not only promise a ecosystem but also catalyze economic growth, environmental preservation, enhanced quality life for communities worldwide.

Language: Английский

Citations

14

The influence of grid connectivity, electricity pricing, policy-driven power incentives, and carbon emissions on renewable energy adoption: Exploring key factors DOI
Ejaz Ahmad, Dilawar Khan, Muhammad Khalid Anser

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: 232, P. 121108 - 121108

Published: July 31, 2024

Language: Английский

Citations

14

Evaluation of Multidimensional Carbon Neutrality Policies in Transportation Using a Novel Quantum Picture Fuzzy Rough Modeling DOI Creative Commons
Gang Kou, Dragan Pamučar, Serhat Yüksel

et al.

IEEE Transactions on Engineering Management, Journal Year: 2024, Volume and Issue: 71, P. 7681 - 7700

Published: Jan. 1, 2024

Carbon neutrality policies are of great importance for the transportation sector. Thus, some issues need to be taken into consideration increase effectiveness carbon in this However, biggest disadvantage these improvements is that they costs. Instead improving a large number factors, it more financially feasible take action on ones important. Nevertheless, there limited studies which priority analysis made factors affecting process. Therefore, main missing part literature new study should weights variables determined. The purpose evaluate industry with novel decision-making model. First, selected indicators evaluated by quantum picture fuzzy row sets-based multi-step wise weight assessment ratio (M-SWARA) technique. Secondly, alternatives ranked. For purpose, multi-objective optimization basis (MOORA) methodology considered sets. motivation making and comprehensive reason behind situation most existing models could not consider causal directions among indicators. Due situation, proposed model created using causality relationships between industry. contribution integrating theory rough This has positive make sensitive evaluations. Additionally, approach criteria so relationship determinants can findings demonstrate infrastructure development important factor effective Cost another critical indicator respect. On other hand, according ranking results, determined reducing traditional fuels zero-carbon essential alternative transportation. It would appropriate companies attach use electric vehicles. In context, government incentives vehicles offered. example, tax reduction may as will provide significant cost advantage.

Language: Английский

Citations

12

LSTM-Autoencoder Based Anomaly Detection Using Vibration Data of Wind Turbines DOI Creative Commons
Younjeong Lee, Chanho Park, Namji Kim

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(9), P. 2833 - 2833

Published: April 29, 2024

The problem of energy depletion has brought wind under consideration to replace oil- or chemical-based energy. However, the breakdown turbines is a major concern. Accordingly, unsupervised learning was performed using vibration signal power generator achieve an outlier detection performance 97%. We analyzed data through wavelet packet conversion and identified specific frequency band that showed large difference between normal abnormal data. To emphasize these bands, high-pass filters were applied maximize difference. Subsequently, dimensions reduced principal component analysis, giving unique characteristics preprocessing process. Normal collected from farm located in northern Sweden first preprocessed trained long short-term memory (LSTM) autoencoder perform detection. LSTM Autoencoder model specialized for time-series learns patterns detects other as outliers. Therefore, we propose method learning, utilizing signals generators. This will facilitate quick accurate failures provide alternatives depletion.

Language: Английский

Citations

10

Recent Advancements in Low-Energy Buildings: Integrating Bio-Phase Change Materials and Rooftop Greenery Systems. DOI Creative Commons
Kushal Devkota, M.G. Rasul, Ashfaque Ahmed Chowdhury

et al.

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 111790 - 111790

Published: Jan. 1, 2025

Language: Английский

Citations

1

Open government data and green economic growth DOI
Jing Li,

Quan Tianshu,

Qing Han

et al.

Economic Analysis and Policy, Journal Year: 2025, Volume and Issue: 85, P. 2207 - 2218

Published: March 1, 2025

Language: Английский

Citations

1