Reviews of Environmental Contamination and Toxicology, Journal Year: 2024, Volume and Issue: 262(1)
Published: July 2, 2024
Language: Английский
Reviews of Environmental Contamination and Toxicology, Journal Year: 2024, Volume and Issue: 262(1)
Published: July 2, 2024
Language: Английский
Advances in environmental engineering and green technologies book series, Journal Year: 2024, Volume and Issue: unknown, P. 333 - 362
Published: Oct. 16, 2024
Explainable AI (XAI) is important in situations where decisions have significant effects on the results to make systems more reliable, transparent, and people understand how work. In this chapter, an overview of AI, its evolution are discussed, emphasizing need for robust policy regulatory frameworks responsible deployment. Then key concept use XAI models been discussed. This work highlights XAI's significance sectors like healthcare, finance, transportation, retail, supply chain management, robotics, manufacturing, legal criminal justice, etc. profound human societal impacts. Then, with integrated IoT renewable energy management scope smart cities addressed. The study particularly focuses implementations solutions, specifically solar power integration, addressing challenges ensuring transparency, accountability, fairness AI-driven decisions.
Language: Английский
Citations
137Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(16), P. 45498 - 45514
Published: Feb. 17, 2023
Language: Английский
Citations
60Technology in Society, Journal Year: 2023, Volume and Issue: 74, P. 102260 - 102260
Published: May 19, 2023
Analysing historical patterns of artificial intelligence (AI) adoption can inform decisions about AI capability uplift, but research to date has provided a limited view across various fields research. In this study we examine worldwide technology within 333 during 1960-2021. We do by using bibliometric analysis with 137 million peer-reviewed publications captured in The Lens database. define list 214 phrases developed expert working groups at the Organisation for Economic Cooperation and Development (OECD). found that 3.1 entire period were AI-related, surge practically all (physical science, natural life social science arts humanities) recent years. diffusion beyond computer was early, rapid widespread. 1960 14% related (many science), increased cover over half 1972, 80% 1986 98% current times. note experienced boom-bust cycles historically: "springs" "winters". conclude context appears different, interdisciplinary application is likely be sustained.
Language: Английский
Citations
55Energy Reports, Journal Year: 2023, Volume and Issue: 10, P. 1299 - 1312
Published: Aug. 16, 2023
The integration of renewable energy sources into smart grids offers a promising solution for building sustainable and reliable systems. However, optimizing hybrid systems remains crucial area research. study presents comprehensive approach combining artificial intelligence algorithm techniques with metaheuristic optimization algorithms anticipating managing in grid environments. With precision, recall, accuracy scores 0.92, 0.93, respectively, the proposed Hybrid LSTM-RL model beats current correctly forecasting demand patterns. an 0.91 various load balancing measures, RL-SA efficiently measures balancing. mean squared error (MSE), absolute (MAE), R-squared score, root square (RMSE), percentage (MAPE) values 345.12, 15.07, 0.78, 18.57, 7.83, CNN-PSO also turns out to be most successful at generation energy. These discoveries help settings advance, enabling effective, dependable, economical production distribution. suggested has potential used rural off-grid settings. Overall, this research useful method maximizing acts as spark additional studies management
Language: Английский
Citations
48Energy Economics, Journal Year: 2024, Volume and Issue: 131, P. 107403 - 107403
Published: Feb. 12, 2024
Language: Английский
Citations
46Energy Policy, Journal Year: 2024, Volume and Issue: 186, P. 114010 - 114010
Published: Feb. 1, 2024
As China's energy development undergoes a process from qualitative improvements to quantitative changes, high-quality (HED) has become vital strategy of the Chinese government. representative emerging technologies, artificial intelligence (AI) can effectively promote clean transition, strengthen security, and enhance above process. Therefore, this paper explores relationship between AI HED based on gauging index level 30 provinces in China covering 2007–2017. In addition, we use green innovation R&D intensity as mediating variables study indirect effect HED. We further explore threshold digital economy The results indicate that positively affects China; specifically, every 1 % increase will lead 0.032 index. Moreover, indirectly increases by improving intensity. Further, shows influences impact This means have significantly positive areas with developed economy. Finally, provide practical approaches reference suggestions for achieve transition assistance AI.
Language: Английский
Citations
43Applied Energy, Journal Year: 2024, Volume and Issue: 363, P. 123081 - 123081
Published: March 26, 2024
Language: Английский
Citations
39Energy Economics, Journal Year: 2024, Volume and Issue: 131, P. 107388 - 107388
Published: Feb. 6, 2024
Language: Английский
Citations
34Energy Economics, Journal Year: 2024, Volume and Issue: 131, P. 107357 - 107357
Published: Feb. 19, 2024
Language: Английский
Citations
26Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 447, P. 141466 - 141466
Published: Feb. 26, 2024
Language: Английский
Citations
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