Carbon lock-in endgame: Can energy trilemma eradication contribute to decarbonization? DOI
Congyu Zhao, Kangyin Dong, Chien‐Chiang Lee

и другие.

Energy, Год журнала: 2024, Номер 293, С. 130662 - 130662

Опубликована: Фев. 14, 2024

Язык: Английский

Does green finance promote renewable energy? Evidence from China DOI
Chien‐Chiang Lee, Fuhao Wang,

Yu-Fang Chang

и другие.

Resources Policy, Год журнала: 2023, Номер 82, С. 103439 - 103439

Опубликована: Март 7, 2023

Язык: Английский

Процитировано

169

The impact of renewable energy technology innovation on energy poverty: Does climate risk matter? DOI
Chien‐Chiang Lee, Zihao Yuan, Chi‐Chuan Lee

и другие.

Energy Economics, Год журнала: 2022, Номер 116, С. 106427 - 106427

Опубликована: Ноя. 23, 2022

Язык: Английский

Процитировано

164

Synergy of pollution control and carbon reduction in China: Spatial–temporal characteristics, regional differences, and convergence DOI
Changfei Nie, Chien‐Chiang Lee

Environmental Impact Assessment Review, Год журнала: 2023, Номер 101, С. 107110 - 107110

Опубликована: Апрель 6, 2023

Язык: Английский

Процитировано

149

A pathway to sustainable development: Digitization and green productivity DOI
Chien‐Chiang Lee, Zhi-Wen He, Zihao Yuan

и другие.

Energy Economics, Год журнала: 2023, Номер 124, С. 106772 - 106772

Опубликована: Июнь 1, 2023

Язык: Английский

Процитировано

118

How does green finance affect energy efficiency? The role of green technology innovation and energy structure DOI
Chien‐Chiang Lee, Chang-song Wang, Zhi-Wen He

и другие.

Renewable Energy, Год журнала: 2023, Номер 219, С. 119417 - 119417

Опубликована: Окт. 10, 2023

Язык: Английский

Процитировано

84

Graph Neural Network for Traffic Forecasting: The Research Progress DOI Creative Commons
Weiwei Jiang, Jiayun Luo, Miao He

и другие.

ISPRS International Journal of Geo-Information, Год журнала: 2023, Номер 12(3), С. 100 - 100

Опубликована: Фев. 27, 2023

Traffic forecasting has been regarded as the basis for many intelligent transportation system (ITS) applications, including but not limited to trip planning, road traffic control, and vehicle routing. Various methods have proposed in literature, statistical models, shallow machine learning deep models. Recently, graph neural networks (GNNs) emerged state-of-the-art solutions because they are well suited systems with structures. This survey aims introduce research progress on trends observed from most recent studies. Furthermore, this summarizes latest open-source datasets code resources sharing community. Finally, challenges opportunities inspire follow-up research.

Язык: Английский

Процитировано

78

Impact of smart city pilot on energy and environmental performance: China-based empirical evidence DOI

Qingbin Guo,

Deyuan Zeng, Chien‐Chiang Lee

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 97, С. 104731 - 104731

Опубликована: Июнь 18, 2023

Язык: Английский

Процитировано

72

Machine learning and the renewable energy revolution: Exploring solar and wind energy solutions for a sustainable future including innovations in energy storage DOI Creative Commons
Abu Danish Aiman Bin Abu Sofian, Hooi Ren Lim, Heli Siti Halimatul Munawaroh

и другие.

Sustainable Development, Год журнала: 2024, Номер 32(4), С. 3953 - 3978

Опубликована: Янв. 8, 2024

Abstract This article evaluates the present global condition of solar and wind energy adoption explores their benefits limitations in meeting needs. It examines historical evolutionary growth energy, trends usage renewable upcoming technologies, including floating vertical‐axis turbines. The importance smart grid technology storage alternatives for enhancing effectiveness dependability is explored. In addition, role Electric Vehicles (EVs) a modern has been assessed. Furthermore, economic benefits, most recent technological developments environmental social ramifications. potential to meet increasing demand problems opportunities facing industry have shown excellent promise. Machine learning applications generation are vital sustainable production. can help design, optimization, cost reduction, and, importantly, improving efficacy advancing storage. assessment crucial resource policymakers, leaders, researchers who aim make world cleaner more sustainable. Ultimately, this review great demands goals.

Язык: Английский

Процитировано

60

An empirical analysis of the dynamic relationship between clean and dirty energy markets DOI
Aviral Kumar Tiwari, Nader Trabelsi, Emmanuel Joel Aikins Abakah

и другие.

Energy Economics, Год журнала: 2023, Номер 124, С. 106766 - 106766

Опубликована: Май 31, 2023

Язык: Английский

Процитировано

47

Geopolitical oil price uncertainty transmission into core inflation: Evidence from two of the biggest global players DOI
Chien‐Chiang Lee, Godwin Olasehinde‐Williams, Oktay Özkan

и другие.

Energy Economics, Год журнала: 2023, Номер 126, С. 106983 - 106983

Опубликована: Авг. 29, 2023

Язык: Английский

Процитировано

47