This book introduces the issues and problems that arise when implementing smart energy management for sustainable manufacturing in the automotive manufacturing industry and the analytical tools and applications to deal with them. It uses a number of illustrative examples to explain energy management in automotive manufacturing, which involves most types of manufacturing technology and various levels of energy consumption. It demonstrates how analytical tools can help improve energy management processes, including forecasting, consumption, and performance analysis, emerging new technology identification as well as investment decisions for establishing smart energy consumption practices. It also details practical energy management systems, making it a valuable resource for professionals involved in real energy management processes, and allowing readers to implement the procedures and applications presented.
This book provides a relatively whole view of data-driven decision-making methods for energy service innovation and energy system optimization. Through personalized energy services provision and energy efficiency improvement, the book can contribute to the green transformation of energy system and the sustainable development of the society. The book gives a new way to achieve smart energy management, based on various data mining and machine learning methods, including fuzzy clustering, shape-based clustering, ensemble clustering, deep learning, and reinforcement learning. The applications of these data-driven methods in improving energy efficiency and supporting energy service innovation are presented. Moreover, this book also investigates the role of blockchain in supporting peer-to-peer (P2P) electricity trading innovation, thus supporting smart energy management. The general scope of this book mainly includes load clustering, load forecasting, price-based demand response, incentive-based demand response, and energy blockchain-based electricity trading. The intended readership of the book includes researchers and engineers in related areas, graduate and undergraduate students in university, and some other general interested audience. The important features of the book are: (1) it introduces various data-driven methods for achieving different smart energy management tasks; (2) it investigates the role of data-driven methods in supporting various energy service innovation; and (3) it explores energy blockchain in P2P electricity trading, and thus supporting smart energy management.
A brand new collection of best practices for growing businesses and profits through sustainability… 3 authoritative books, now in a convenient e-format, at a great price! 3 authoritative books deliver world-class insights, methodologies, and strategies for accelerating business growth through sustainability Sustainability isn't just good for the environment: it can be a powerful driver of business growth and profitability. In this unique 3 eBook package, three world-class experts show you how great companies are improving performance by increasing sustainability. In Creating a Sustainable Organization, Peter A. Soyka helps you choose the right strategies, and then manage and measure them well. Bridging the worlds of the sustainability professional and the investor/analyst, Soyka reveals what the evidence says about linkages between sustainability and value… how to effectively manage sustainability throughout the business… how to manage key investor and stakeholder relationships, and much more. Next, in Making Sustainability Stick, Kevin Wilhelm provides a complete, up-to-date blueprint for successfully and profitably integrating sustainability across the enterprise. Wilhelm organizes his plan into easy-to-digest chapters, with action steps backed up from his extensive real-life consulting experience and candid interviews with 40+ directors of Sustainability or Corporate Social Responsibility (CSR). He provides a step-by-step roadmap for realizing the benefits of sustainability by fully engaging employees… a checklist for implementation… powerful tips on regaining lost momentum… and specific resources and exercises for overcoming common obstacles to implementation. Finally, in Better Green Business, Dr. Eric G. Olson brings together practical insights and start-to-finish strategies for moving any enterprise to a higher level of environmental stewardship. Drawing on extensive experience, Olson shows how to systematically drive “win-win-win” gains: growing top-line revenue, helping customers increase efficiency, and improving the environment. He introduces powerful methodologies and technologies for increasing operational efficiency and reducing waste, including IBM’s impactful Green Sigma™ approach. You'll find new ways to drive value by “instrumenting the planet,” and discover the technologies that now make this possible. Olson concludes by identifying long-term trends that make “green business” approaches increasingly indispensable. Whatever your role in optimizing business sustainability and value, this collection will help you build support, execute effectively, and get results. From world-renowned business sustainability experts Peter A. Soyka, Kevin Wilhelm, and Eric G. Olson
This volume aims to provide a state-of-the-art and the latest advancements in the field of intelligent control and smart energy management. Techniques, combined with technological advances, have enabled the deployment of new operating systems in many engineering applications, especially in the domain of transport and renewable resources. The control and energy management of transportation and renewable resources are shifting towards autonomous reasoning, learning, planning and operating. As a result, these techniques, also referred to as autonomous control and energy management, will become practically ubiquitous soon. The discussions include methods, based on neural control (and others) as well as distributed and intelligent optimization. While the theoretical concepts are detailed and explained, the techniques presented are tailored to transport and renewable resources applications, such as smart grids and automated vehicles. The reader will grasp the most important theoretical concepts as well as to fathom the challenges and needs related to timely practical applications. Additional content includes research perspectives and future direction as well as insight into the devising of techniques that will meet tomorrow’s scientific needs. This contributed volume is for researchers, graduate students, engineers and practitioners in the domains of control, energy, and transportation.
Database Management Using AI: A Comprehensive Guide is a professional yet accessible exploration of how artificial intelligence (AI) is reshaping the world of database management. Designed for database administrators, data scientists, and tech enthusiasts, this book walks readers through the transformative impact of AI on modern data systems. The guide begins with the fundamentals of database management, covering key concepts such as data models, SQL, and the principles of database design. From there, it delves into the powerful role AI plays in optimizing database performance, enhancing security, and automating complex tasks like data retrieval, query optimization, and schema design. The book doesn't stop at theory. It brings AI to life with practical case studies showing how AI-driven database systems are being used in industries such as e-commerce, healthcare, finance, and logistics. These real-world examples demonstrate AI's role in improving efficiency, reducing errors, and driving intelligent decision-making. Key topics covered include: Introduction to Database Systems: Fundamentals of database management, from relational databases to modern NoSQL systems. AI Integration: How AI enhances database performance, automates routine tasks, and strengthens security. Real-World Applications: Case studies from diverse sectors like healthcare, finance, and retail, showcasing the practical impact of AI in database management. Predictive Analytics and Data Mining: How AI tools leverage data to make accurate predictions and uncover trends. Future Trends: Explore cutting-edge innovations like autonomous databases and cloud-based AI solutions that are shaping the future of data management. With its clear explanations and actionable insights, Database Management Using AI equips readers with the knowledge to navigate the fast-evolving landscape of AI-powered databases, making it a must-have resource for those looking to stay ahead in the digital age.
This book constitutes the refereed proceedings of the First International Conference on Information and Communication Technology for the Fight against Global Warming, ICT-Glow 2011, held in Toulouse, France in August 2011. The 16 revised papers presented were carefully reviewed and selected from 24 submissions. They address the following topics: parallel computing, ICT for transportation, cloud and pervasive computing, measurement and control and storage.
EMERGING COMPUTING PARADIGMS A holistic overview of major new computing paradigms of the 21st Century In Emerging Computing Paradigms: Principles, Advances and Applications, international scholars offer a compendium of essential knowledge on new promising computing paradigms. The book examines the characteristics and features of emerging computing technologies and provides insight into recent technological developments and their potential real-world applications that promise to shape the future. This book is a useful resource for all those who wish to quickly grasp new concepts of, and insights on, emerging computer paradigms and pursue further research or innovate new novel applications harnessing these concepts. Key Features Presents a comprehensive coverage of new technologies that have the potential to shape the future of our world—quantum computing, computational intelligence, advanced wireless networks and blockchain technology Revisits mainstream ideas now being widely adopted, such as cloud computing, the Internet of Things (IoT) and cybersecurity Offers recommendations and practical insights to assist the readers in the application of these technologies Aimed at IT professionals, educators, researchers, and students, Emerging Computing Paradigms: Principles, Advances and Applications is a comprehensive resource to get ahead of the curve in examining and exploiting emerging new concepts and technologies. Business executives will also find the book valuable and gain an advantage over competitors in harnessing the concepts examined therein.
Asia is home to 60 per cent of the world's population, including the world's two most populous nations, China and India. The region's economic gains and rising middle class are accelerating demand for more consumer goods and a better quality of life. For further economic growth to be realised, the region will need a massive supply of additional energy, three- to five-fold 2020’s amount by 2050. These changes create new business and investment opportunities for domestic companies and overseas participants. Asia’s energy market, already the world’s biggest, will soon be the most advanced. There will be mass adoption of digital technologies, like artificial intelligence, to make the distribution of solar, wind and other clean resources, smarter and more efficient. Led by China, billions of dollars in capital investment will drive the region's shift to green, sustainable energy, replacing polluting and expensive fossil fuels, which will help to rein in climate change. In Asia’s Energy Revolution, leading energy markets analyst and practitioner Joseph Jacobelli explains why Asia is the world’s most important territory for energy transition, how developments in the region will drive change in the rest of the world as well as how it will all be financed. The book discussion includes: Analysis of past events and forward-looking analysis of the industry in the region encompassing commercial, economic, and financial aspects Appraisal of new energy technologies, such as electric vehicles, and digital solutions, such as blockchain for energy Review of the capital flows and sustainable financing channels needed to fund energy infrastructure and tech growth
International Conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES2019, 26-28 November 2019, Taghit-Bechar, Algeria. The challenges of the energy transition in the medium term lead to numerous technological breakthroughs in the areas of production, optimal distribution and the rational use of energy and renewable energy (energy efficiency and optimization of consumption, massive electrification, monitoring and control energy systems, cogeneration and energy recovery processes, new and renewable energies, etc.). The fall in the cost of renewable energies and the desire for a local control of energy production are today calling for a profound change in the electricity system. Local authorities are at the center of energy developments by taking into account the local nature of certain energy systems, heat networks, geothermal energy, waste heat recovery, and electricity generation from household waste. On the other side, digital sciences are at the heart of connected objects and intelligent products that combine information processing and communication capabilities with their environment. Digital technology is at the center of new systems engineering approaches (3D modeling, virtualization, simulation, digital prototyping, etc.) for the design and development of intelligent systems. The book deals with various topics ranging from the design, development and maintenance of energy production systems, transport, distribution or storage of energy, optimization of energy efficiency, especially in the use of energy. innovation in the fields of energy production from renewable energies, management of energy networks: electricity, fluids, gas, district heating, energy storage modes: battery, super-capacitors , overseeing energy supply through supervision, control and diagnosis, risk management, as well as the design and management of smart grids: microgrid, smartgrid. This imposes the model of energy empowerment in the advent of smart cities. Empower the world’s most vulnerable energy-poor citizens and establish growing and vibrant socioeconomic communities, by academics, students in engineering and data computing from around the world who have chosen an academic path leading to an electric power and energy engineering and artificial intelligence to advancing technology for the advantage of humanity.
