Published: Jan. 1, 2024
Language: Английский
Published: Jan. 1, 2024
Language: Английский
Energies, Journal Year: 2025, Volume and Issue: 18(2), P. 434 - 434
Published: Jan. 20, 2025
Artificial intelligence (AI) is gaining attention in energy economics due to its ability process large-scale data as well make non-linear predictions and providing new development opportunities research subjects for research. The aim of this paper explore the trends application AI over decade spanning 2014–2024 through a systematic literature review, bibliometrics, network analysis. analysis shows that prominent themes are price forecasting, innovations systems, socio-economic impacts, transition, climate change. Potential future directions include supply-chain resilience security, social acceptance public participation, economic inequality technology gap, automated methods policy assessment, circular economy, digital economy. This innovative study contributes understanding from perspective bibliometrics inspires researchers think comprehensively about challenges hotspots.
Language: Английский
Citations
0Applied Economics, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17
Published: March 17, 2025
Language: Английский
Citations
0Energy Economics, Journal Year: 2025, Volume and Issue: unknown, P. 108450 - 108450
Published: April 1, 2025
Language: Английский
Citations
0Energy Economics, Journal Year: 2024, Volume and Issue: 139, P. 107906 - 107906
Published: Sept. 10, 2024
Language: Английский
Citations
1Advances in finance, accounting, and economics book series, Journal Year: 2024, Volume and Issue: unknown, P. 61 - 98
Published: Oct. 3, 2024
The volatilities observed in different markets have an impact on global inflation. persistent upward trend inflation forms the basis of economic challenges experienced all countries.Therefore, especially considering recent developments and events, stands out as one most researched topics. In this contextthis, study analyzes relationship between inflation, food price, Brend oil energy prices, supply chain, geopolitical risks variables using monthly data from 2004:08 to 2023:10. analysis, Dynamic Wavelet Correlation Analysis For Multivariate (WLMC) approach is employed examine dynamic correlation across time frequency dimensions. Considering findings study, it can be stated that strong relationships among been found after year 2021 analyses. This suggests a stronger integration markets, years.
Language: Английский
Citations
0Published: Jan. 1, 2024
Language: Английский
Citations
0