Featuring Wave and Tidal Energy Conversion With Artificial Intelligence and Machine Learning DOI
Laeeq Razzak Janjua

Practice, progress, and proficiency in sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 59 - 82

Published: Nov. 1, 2024

Artificial intelligence (AI) and machine learning (ML) are becoming indispensable tools for increasing the efficiency sustainability of this renewable energy source ocean industry has made significant strides in recent years. The initial stages research development when AI ML first started to emerge wave tidal space. development, management, upkeep maritime systems have all changed as a result these innovations. An massive, unexplored resource that potential make an important contribution world's mix is energy. In order maximize efficacy conversion, chapter focuses on incorporation artificial technologies. It looks at technologies' capability support clean solutions build sustainable environment particularly context urban living.

Language: Английский

Assessing waste-to-energy potential and landfill site suitability via a holistic approach DOI
Mustafa Serdar Genç, Şükrü Taner Azgın,

Zafer İpekli

et al.

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 189, P. 343 - 355

Published: June 15, 2024

Language: Английский

Citations

7

Spatial analysis of the digital economy’s influence on urban sustainable development: A decade-long study of Chinese prefecture-level cities DOI Creative Commons
S. Yang,

Hanghang Li,

Xiuyan Liu

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112338 - 112338

Published: July 14, 2024

Language: Английский

Citations

5

Do Structural Transformations in the Energy Sector Help to Achieve Decarbonization? Evidence from the World’s Top Five Green Leaders DOI Creative Commons
Shazia Kousar, Amber Pervaiz, Farhan Ahmed

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(18), P. 4600 - 4600

Published: Sept. 13, 2024

The purpose of this study is to examine the role structural transformation in energy sector accelerate decarbonization process world’s top five green leaders, Germany, Canada, Sweden, Denmark, and Poland. To test empirically, we collected annual data from a panel leaders 2000–2023. A key contribution our lies assessing multiple critical metrics, including CO2 emissions, carbon intensity, intensity electricity, production-based consumption-based capture holistic progress towards neutrality. We applied augmented mean group (AMG) model estimate long-term results. Dumitrescu–Hurlin used causal relationship among modeled variables. findings AMG reveal that renewable production consumption significantly reduce electricity. Conversely, fossil-fuel-derived exacerbates these metrics. However, impact sources varies by country terms their magnitude. outcomes indicate bidirectional causality exists between emissions intensity. unidirectional fossil fuel Our results detrimental impacts continued use conclude decarbonization. Based on results, suggest policy efforts should prioritize reforms emphasizing shift sources. Such are essential for achieving net-zero mitigating broader environmental degradation.

Language: Английский

Citations

4

Enhancing Renewable Energy Evaluation: Utilizing Complex Picture Fuzzy Frank Aggregation Operators in Multi-Attribute Group Decision-Making DOI Creative Commons
Abrar Hussain, Shi Yin,

Kifayat Ullah

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 105842 - 105842

Published: Oct. 1, 2024

Language: Английский

Citations

4

A multi-objective robust dispatch strategy for renewable energy microgrids considering multiple uncertainties DOI

Jialin Du,

Weihao Hu, Sen Zhang

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 105918 - 105918

Published: Oct. 1, 2024

Language: Английский

Citations

4

Atlas for sustainable Egyptian governorates buildings based on wind/solar potential: Power, efficiency, economic, environmental, and thermal comfort maps DOI
Brian Senyonyi, Hatem Mahmoud, Hamdy Hassan

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115314 - 115314

Published: Jan. 1, 2025

Language: Английский

Citations

0

Multi-source data fusion-driven urban building energy modeling DOI

Sebin Choi,

Yi Dong, Deuk-Woo Kim

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106283 - 106283

Published: March 1, 2025

Citations

0

Financial Directions for Renewable Energy Sources Investments as a Support for Sustainable Development Policy—Examples of Polish Cities DOI Open Access
Agnieszka Dembicka-Niemiec, Edyta Szafranek

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 3228 - 3228

Published: April 4, 2025

The EU’s cohesion policy envisages using renewable energy sources (RESs) to realize sustainable development and reduce urban air pollution. In Poland, investments in this area are gradually being made by cities of different sizes, which is the subject study. One essential tools for implementing Regional Operational Programmes (ROPs), under it possible obtain funding RES investments. Given high needs cities, such important. A desk research method, qualitative project analysis, quantitative analysis were used. authors inferences based on data obtained. analyzed all projects financed ROPs 2014–2020 implemented since 2014 Polish use RESs. beneficiaries selected local government units. type size installations relationship between city investment characteristics identified. To date, has not been conducted, filling a gap. results make determine directions scale financing sizes was considered study’s primary objective. This study showed that determines addition, smaller city, lower percentage their own higher within cluster or functional area.

Language: Английский

Citations

0

Is energy system resilience improved in the energy transition? Evidence from China DOI
Xiaomeng Zhao, Jun Zhao, Farhad Taghizadeh–Hesary

et al.

Energy Economics, Journal Year: 2025, Volume and Issue: unknown, P. 108485 - 108485

Published: April 1, 2025

Language: Английский

Citations

0

Leveraging Technology for Climate Resilience in Urban Areas DOI
Ananya Pandey,

Manshu Goyal

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 137 - 162

Published: April 17, 2025

Urban areas, densely populated and often located in vulnerable coastal regions, are particularly susceptible to the impacts of climate change. This chapter explores diverse ways technology can be leveraged enhance resilience these urban environments. Focusing on mitigation adaptation strategies, study examines potential smart city technologies, including sensor networks, data analytics, AI, improve infrastructure management disaster preparedness. Specific examples include real-time flood monitoring systems, predictive modelling for extreme weather events, optimized energy grids reduced carbon emissions. Furthermore, investigates role digital platforms facilitating community engagement fostering collaborative responses climate-related challenges. importance equitable access need robust governance frameworks ensure that technological interventions effectively contribute building climate-resilient sustainable futures is explored

Language: Английский

Citations

0