Artificial Intelligence for Knowledge Management, Energy and Sustainability

Artificial Intelligence for Knowledge Management, Energy and Sustainability PDF Author: Eunika Mercier-Laurent
Publisher: Springer Nature
ISBN: 3031610695
Category :
Languages : en
Pages : 268

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Book Description

Artificial Intelligence for Knowledge Management, Energy and Sustainability

Artificial Intelligence for Knowledge Management, Energy and Sustainability PDF Author: Eunika Mercier-Laurent
Publisher: Springer Nature
ISBN: 3031610695
Category :
Languages : en
Pages : 268

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Book Description


Artificial Intelligence for Knowledge Management, Energy, and Sustainability

Artificial Intelligence for Knowledge Management, Energy, and Sustainability PDF Author: Eunika Mercier-Laurent
Publisher: Springer Nature
ISBN: 3030965929
Category : Computers
Languages : en
Pages : 231

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Book Description
This book features a selection of extended papers presented at the 9th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2021, and the 1st International Workshop on Energy and Sustainability, AIES 2021, named AI4KMES 2021 and held in conjunction with IJCAI 2021 in August 2021. The conference was planned to take place in Montréal, Canada, but changed to an online event due to the COVID-19 pandemic. The 15 papers included in this book were carefully reviewed and selected from 17 submissions. They deal with knowledge management and sustainability challenges, focusing on methodological, technical and organizational aspects of AI used for facing related complex problems. This year's topic was AI for Knowledge Management, Energy and Sustainable Future.

AI Applications for Clean Energy and Sustainability

AI Applications for Clean Energy and Sustainability PDF Author: Riswandi, Budi Agus
Publisher: IGI Global
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 485

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Book Description
The global demand for clean energy solutions the urgency of addressing climate change continue to intensify, and as such, the need for innovative approaches becomes increasingly paramount. However, navigating the complex landscape of clean energy production and sustainability presents significant challenges. Traditional methods often fall short in efficiently optimizing renewable energy systems and mitigating environmental impacts. Moreover, the integration of artificial intelligence (AI) into the energy sector remains underexplored, despite its potential to revolutionize operations and drive sustainable development. AI Applications for Clean Energy and Sustainability emerges, working to tackle these pressing issues. This comprehensive volume delves into the transformative power of AI in revolutionizing clean energy production, distribution, and management. By harnessing machine learning algorithms, data analytics, and optimization techniques, the book offers innovative solutions to enhance the efficiency, reliability, and scalability of renewable energy systems. Through real-world case studies and practical examples, it illustrates AI's potential to optimize energy infrastructure, monitor marine ecosystems, and predict climate change impacts, thereby paving the way for a more sustainable future.

Intelligent Information Systems and Knowledge Management for Energy: Applications for Decision Support, Usage, and Environmental Protection

Intelligent Information Systems and Knowledge Management for Energy: Applications for Decision Support, Usage, and Environmental Protection PDF Author: Metaxiotis, Kostas
Publisher: IGI Global
ISBN: 1605667382
Category : Technology & Engineering
Languages : en
Pages : 523

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Book Description
"This book analyzes the need for a holistic approach for the construction and engineering of cities and societies"--Provided by publisher.

Artificial Intelligence and Renewables Towards an Energy Transition

Artificial Intelligence and Renewables Towards an Energy Transition PDF Author: Mustapha Hatti
Publisher: Springer
ISBN: 9783030638450
Category : Computers
Languages : en
Pages : 0

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Book Description
This proceedings book emphasizes adopting artificial intelligence-based and sustainable energy efficiency integrated with clear objectives, to involve researchers, students, and specialists in their development and implementation adequately in achieving objectives. The integration of artificial intelligence into renewable energetic systems would allow the rapid development of a knowledge-based economy suitable to the energy transition, while fully integrating the renewables into the global economy. This is how artificial intelligence has hand in by conceptualizing this transition and above all by saving time. The knowledge economy is valuated within the smart cities, which are fast becoming the favorite places where the energy transition will take place efficiently and intelligently by implementing integrated approaches to energy saving and energy supply and integrated urban approaches that go beyond individual interventions in buildings or transport modes using information and communication technologies.

Artificial Intelligence and Machine Learning for Sustainable Development

Artificial Intelligence and Machine Learning for Sustainable Development PDF Author: Pawan Whig
Publisher: CRC Press
ISBN: 1040228771
Category : Computers
Languages : en
Pages : 287

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Book Description
Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development. The book examines cutting-edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. This book would be of special interest to researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future.

Cases on Enhancing Business Sustainability Through Knowledge Management Systems

Cases on Enhancing Business Sustainability Through Knowledge Management Systems PDF Author: Russ, Meir
Publisher: IGI Global
ISBN: 1668458616
Category : Business & Economics
Languages : en
Pages : 390

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Book Description
Artificial intelligence (AI) is becoming a reality for pioneering organizations while they are facing complex and multifaceted aspects of business sustainability with ambiguous and changing ethical norms and vague or nonexistent legislation. The first quarter of the 21st century was identified as the beginning of the continuous, ongoing, and accelerating wave of simultaneous general purpose technologies revolutions causing accelerated shrinkage of the half-life of knowledge. Cases on Enhancing Business Sustainability Through Knowledge Management Systems presents teaching case studies exploring the formulation and implementation of knowledge management systems (KMS) in organizations. Covering topics such as automation, machine learning, and socio-ecological innovation, this case book is an essential resource for business leaders and managers, IT managers, entrepreneurs, government officials, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

Renewable Energy for Smart and Sustainable Cities

Renewable Energy for Smart and Sustainable Cities PDF Author: Mustapha Hatti
Publisher: Springer
ISBN: 303004789X
Category : Technology & Engineering
Languages : en
Pages : 571

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Book Description
This book features cutting-edge research presented at the second international conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES2018, held on 24–26 November 2018, at the High School of Commerce, ESC-Koléa in Tipaza, Algeria. Today, the fundamental challenge of integrating renewable energies into the design of smart cities is more relevant than ever. While based on the advent of big data and the use of information and communication technologies, smart cities must now respond to cross-cutting issues involving urban development, energy and environmental constraints; further, these cities must also explore how they can integrate more sustainable energies. Sustainable energies are a major determinant of smart cities’ longevity. From an environmental and technological standpoint, these energies offer an optimal power supply to the electric network while creating significantly less pollution. This requires flexibility, i.e., the availability of supply and demand. The end goal of any smart city is to improve the quality of life for all citizens (both in the city and in the countryside) in a way that is sustainable and respectful of the environment. This book encourages the reader to engage in the preservation of our environment, every moment, every day, so as to help build a clean and healthy future, and to think of the future generations who will one day inherit our planet. Further, it equips those whose work involves energy systems and those engaged in modelling artificial intelligence to combine their expertise for the benefit of the scientific community and humanity as a whole.

ECKM 2020 21st European Conference on Knowledge Management

ECKM 2020 21st European Conference on Knowledge Management PDF Author: Professor Alexeis Garcia-Perez
Publisher: Academic Conferences International Limited
ISBN: 1912764822
Category : Business & Economics
Languages : en
Pages : 1058

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Book Description


Sustainable Engineering

Sustainable Engineering PDF Author: Yasar Demirel
Publisher: CRC Press
ISBN: 1000954471
Category : Nature
Languages : en
Pages : 424

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Book Description
Sustainable engineering is of great importance for resilient and agile technology and society. This book balances economics, environment, and societal elements of sustainable engineering by integrating process intensification, energy analysis, and artificial intelligence to reduce production costs, improve the use of material and energy, product quality, safety, societal well-being, and water usage. The book provides comprehensive discussion of topics on process intensification, energy analysis, and artificial intelligence that include optimization, energy integration, green engineering, pinch analysis, exergy analysis, feasibility analysis, life cycle assessment, circular economy, bioeconomy, data processing, machine learning, expert systems, digital twins, and self-optimized plants for sustainable engineering.