An improved microgrid energy management system based on hybrid energy storage system using ANN NARMA-L2 controller DOI
Ouadiâ Chekira, Younes Boujoudar, Hassan El Moussaoui

et al.

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 98, P. 113096 - 113096

Published: July 31, 2024

Language: Английский

Artificial intelligence-based solutions for climate change: a review DOI Creative Commons
Lin Chen, Zhonghao Chen, Yubing Zhang

et al.

Environmental Chemistry Letters, Journal Year: 2023, Volume and Issue: 21(5), P. 2525 - 2557

Published: June 13, 2023

Abstract Climate change is a major threat already causing system damage to urban and natural systems, inducing global economic losses of over $500 billion. These issues may be partly solved by artificial intelligence because integrates internet resources make prompt suggestions based on accurate climate predictions. Here we review recent research applications in mitigating the adverse effects change, with focus energy efficiency, carbon sequestration storage, weather renewable forecasting, grid management, building design, transportation, precision agriculture, industrial processes, reducing deforestation, resilient cities. We found that enhancing efficiency can significantly contribute impact change. Smart manufacturing reduce consumption, waste, emissions 30–50% and, particular, consumption buildings 30–50%. About 70% gas industry utilizes technologies enhance accuracy reliability forecasts. Combining smart grids optimize power thereby electricity bills 10–20%. Intelligent transportation systems dioxide approximately 60%. Moreover, management design cities through application further promote sustainability.

Language: Английский

Citations

153

Machine learning-assisted self-powered intelligent sensing systems based on triboelectricity DOI

Zhiyu Tian,

Jun Li, Liqiang Liu

et al.

Nano Energy, Journal Year: 2023, Volume and Issue: 113, P. 108559 - 108559

Published: May 26, 2023

Language: Английский

Citations

50

Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy DOI
Meng Qin, Wei Hu, Xinzhou Qi

et al.

Energy Economics, Journal Year: 2024, Volume and Issue: 131, P. 107403 - 107403

Published: Feb. 12, 2024

Language: Английский

Citations

43

How does artificial intelligence promote renewable energy development? The role of climate finance DOI Creative Commons
Congyu Zhao, Kangyin Dong, Kun Wang

et al.

Energy Economics, Journal Year: 2024, Volume and Issue: 133, P. 107493 - 107493

Published: March 22, 2024

Scholars, stakeholders, and the government have given significant attention to development of renewable energy in recent times. However, previous research has failed acknowledge potential impact artificial intelligence on advancing development. Drawing insights from a global dataset encompassing 63 countries over period 2000–2019, this paper provides observations regarding influence progress energy, by using Instrumental Variable Generalized Method Moments model. We also explore their asymmetric nexus, mediation effect. Moreover, study explores moderating role climate finance highlights following interesting findings. First, contributes significantly enhanced primary finding holds after two robustness tests changing independent dependent variables. Second, an effect development, nexus is closer with lower levels Thid, works through technology innovation Fourth, presents direct benefits development; simultaneously, plays effective relationship between These findings inspire us propose policy implications promote energy.

Language: Английский

Citations

41

Will artificial intelligence make energy cleaner? Evidence of nonlinearity DOI
Chien‐Chiang Lee, Jingyang Yan

Applied Energy, Journal Year: 2024, Volume and Issue: 363, P. 123081 - 123081

Published: March 26, 2024

Language: Английский

Citations

35

Artificial intelligence and carbon emissions inequality: Evidence from industrial robot application DOI
Congyu Zhao, Yongjian Li, Zhengguang Liu

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 438, P. 140817 - 140817

Published: Jan. 1, 2024

Language: Английский

Citations

26

Wireless power transfer: Applications, challenges, barriers, and the role of AI in achieving sustainable development goals - A bibliometric analysis DOI Creative Commons
Khaled Obaideen, Lutfi Albasha,

Usama Javed Iqbal

et al.

Energy Strategy Reviews, Journal Year: 2024, Volume and Issue: 53, P. 101376 - 101376

Published: April 10, 2024

This study presents a comprehensive bibliometric analysis of 19,235 publications on Wireless Power Transfer (WPT) from 2015 to 2023, underlining its critical role in advancing the Sustainable Development Goals (SDGs). Focusing SDG 7 (Affordable and Clean Energy) 3 (Good Health Well-being), research highlights WPT's significant contributions sustainability across economic, environmental, social realms. Utilizing Biblioshiny VOSviewer, we extract visualize key insights into recent progress, technological applications, top keywords, publication trends, geographical distribution, thematic clusters. Our findings indicate strong emphasis sustainable energy solutions, with 1589 directly related 7. WPT also supports 9 (Industry, Innovation, Infrastructure) 56 11 (Sustainable Cities Communities) 171 publications, contributing resilient infrastructure urban development. Moreover, uncovers potential environmental conservation, notable attention 14 (Life Below Water) 15 Land). The synergy Artificial Intelligence (AI) is emphasized for enhancing efficiency broad application areas such as affordable energy, agricultural yields, health standards, digital education, water purification. Despite challenges like financial constraints, technical hurdles, concerns, paper suggests innovative solutions through funding, research, assessments, collaborative policymaking. Highlighting promise state-of-the-art techniques, this advocates democratizing technology access marginalized regions, presenting pivotal tool sustainable, equitable future aligned SDGs.

Language: Английский

Citations

25

The nexus among artificial intelligence, supply chain and energy sustainability: A time-varying analysis DOI
Yufei Zhong,

Xuesheng Chen,

Zhixian Wang

et al.

Energy Economics, Journal Year: 2024, Volume and Issue: 132, P. 107479 - 107479

Published: March 18, 2024

Language: Английский

Citations

17

Artificial intelligence integrated grid systems: Technologies, potential frameworks, challenges, and research directions DOI Creative Commons
Md Morshed Alam, M. J. Hossain, Md Ahasan Habib

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2025, Volume and Issue: 211, P. 115251 - 115251

Published: Jan. 8, 2025

Language: Английский

Citations

4

Operation optimization for aquifer thermal energy storage (ATES) systems based on a surrogate model − assisted method DOI
Yang Wang, Fengshou Zhang

Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 125907 - 125907

Published: Feb. 1, 2025

Language: Английский

Citations

2