Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown
Published: May 30, 2024
Language: Английский
Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown
Published: May 30, 2024
Language: Английский
Advances in systems analysis, software engineering, and high performance computing book series, Journal Year: 2024, Volume and Issue: unknown, P. 148 - 179
Published: April 4, 2024
The green power sector is revolutionizing energy production, grid management, and sustainability by integrating cloud computing machine learning techniques. This chapter explores data handling processes, including sources, collection methods, preprocessing, computing. It discusses algorithms for predictive modeling real-time monitoring. Key benefits, challenges, considerations are discussed, along with case studies of successful adoption in projects. also emphasizes governance, security, integration techniques, warehousing solutions growing requirements. offers efficiency, reliability, environmental responsibility, but faces challenges like privacy, scalability, regulatory compliance.
Language: Английский
Citations
50Energy Economics, Journal Year: 2023, Volume and Issue: 125, P. 106898 - 106898
Published: July 27, 2023
Language: Английский
Citations
39Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 434, P. 140375 - 140375
Published: Dec. 25, 2023
Language: Английский
Citations
30Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 434, P. 139824 - 139824
Published: Nov. 23, 2023
Language: Английский
Citations
28Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 102, P. 107220 - 107220
Published: July 21, 2023
Language: Английский
Citations
24Renewable Energy, Journal Year: 2024, Volume and Issue: 228, P. 120650 - 120650
Published: May 16, 2024
Unarguably, a compromised environment portends negativities to humankind. Hence, we explored the potential of green finance, innovations, taxes, and energy for developments in South Africa (SA). Annual time-series data spanning 1996 – 2022 cutting-edge estimators exposed predictive effects under-listed variables on environments. This includes wavelet quantile correlation, time-varying Granger causality, rolling window-based non-parametric causality. The novel insights underscore vital role finance ensuring growth, irrespective some notable divergences over time. Likewise, energies produced environmental enhancing with underlining asymmetric across time quantiles distributions. outcomes recursive evolving window algorithm correlation portray that are significant positive enablers growth SA. SA should forestall all factors leading observed as policy option. could be achieved through improved finances consistent promotion relevant initiatives. These steps will aid revolution enable emergence development republic.
Language: Английский
Citations
13Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135121 - 135121
Published: Feb. 1, 2025
Language: Английский
Citations
1Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 428, P. 139282 - 139282
Published: Oct. 12, 2023
Language: Английский
Citations
22Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 106, P. 105426 - 105426
Published: April 9, 2024
Language: Английский
Citations
7Marine Pollution Bulletin, Journal Year: 2024, Volume and Issue: 202, P. 116364 - 116364
Published: April 21, 2024
Language: Английский
Citations
7