Hybrid decision tree-based machine learning models for short-term water quality prediction

Chemosphere, Journal Year: 2020, Volume and Issue: 249, P. 126169 - 126169

Published: Feb. 11, 2020

Language: Английский

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Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks

Renewable Energy, Journal Year: 2020, Volume and Issue: 162, P. 1665 - 1683

Published: Sept. 30, 2020

Language: Английский

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The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations

AI & Society, Journal Year: 2021, Volume and Issue: 38(1), P. 283 - 307

Published: Oct. 18, 2021

In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities AI offers in domain: it can help improve expand current understanding of change, contribute combatting crisis effectively. However, development also raises sets problems when considering change: possible exacerbation social ethical challenges already associated with AI, contribution change greenhouse gases emitted by training data computation-intensive systems. assess carbon footprint research, factors influence AI's gas (GHG) emissions domain. find research may be significant highlight need for more evidence concerning trade-off between GHG generated energy resource efficiency gains offer. light our analysis, argue leveraging offered whilst limiting its risks a gambit which requires responsive, evidence-based, effective governance become winning strategy. conclude identifying European Union as being especially well-placed play leading policy response provide 13 recommendations are designed harness while reducing impact on environment.

Language: Английский

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A hybrid model for carbon price forecasting using GARCH and long short-term memory network

Applied Energy, Journal Year: 2021, Volume and Issue: 285, P. 116485 - 116485

Published: Jan. 22, 2021

Language: Английский

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Leakage detection techniques for oil and gas pipelines: State-of-the-art

Tunnelling and Underground Space Technology, Journal Year: 2020, Volume and Issue: 98, P. 103249 - 103249

Published: Jan. 30, 2020

Language: Английский

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Artificial intelligence and machine learning in energy systems: A bibliographic perspective

Energy Strategy Reviews, Journal Year: 2022, Volume and Issue: 45, P. 101017 - 101017

Published: Dec. 13, 2022

Economic development and the comfort-loving nature of human beings in recent years have resulted increased energy demand. Since resources are scarce should be preserved for future generations, optimizing systems is ideal. Still, due to complexity integrated systems, such a feat by no means easy. Here where computer-aided decision-making can very game-changing determining optimum point supply The concept artificial intelligence (AI) machine learning (ML) was born twentieth century enable computers simulate humans' capabilities. then, data mining become increasingly essential areas many different research fields. Naturally, section one area beneficial. This paper uses VOSviewer software investigate review usage field proposes promising yet neglected or unexplored which these concepts used. To achieve this, 2000 most papers addition cited ones energy-related keywords were studied their relationship AI- ML-related visualized. results revealed trends from basic more cutting-edge topics that explored. Results also showed commercial aspect, patents submitted had sharp increase.

Language: Английский

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Analysis and forecast of China's energy consumption structure

Energy Policy, Journal Year: 2021, Volume and Issue: 159, P. 112630 - 112630

Published: Oct. 9, 2021

Language: Английский

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The Ethics of Artificial Intelligence

Oxford University Press eBooks, Journal Year: 2023, Volume and Issue: unknown

Published: Aug. 11, 2023

Abstract The book has two goals. first goal is meta-theoretical and fulfilled by Part One: an interpretation of the past (Chapter 1), present 2), future AI 3). One develops thesis that unprecedented divorce between agency intelligence. On this basis, Two investigates consequences such a divorce, developing as new form can be harnessed ethically unethically. Chapter 4 offers unified perspective on many principles have been proposed to frame ethics AI. 5 discusses potential risks may undermine application these principles, then 6 analyses relation ethical legal norms, definition soft post-compliance ethics. Chapters 7–9 analyse challenges caused development use AI, evil uses good practices when applying last group chapters focuses for social or AI4SG 10), positive negative impacts environment 11), possibility using in support United Nations Sustainable Development Goals 12).The concludes 13) arguing favour marriage Green all our habitats Blue digital technologies how develop better society healthier biosphere.

Language: Английский

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Impact of carbon trading on agricultural green total factor productivity in China

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 367, P. 132789 - 132789

Published: July 6, 2022

Language: Английский

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Predicting China's carbon price based on a multi-scale integrated model

Applied Energy, Journal Year: 2022, Volume and Issue: 324, P. 119784 - 119784

Published: Aug. 6, 2022

Language: Английский

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