Information and communication technologies play an essential role in the effectiveness and efficiency of smart city processes. Recognizing the role of process analysis in energy usage and how it can be enhanced is essential to improving city sustainability. Smart Grid Analytics for Sustainability and Urbanization provides emerging research on the development of information technology and communication systems in smart cities and smart grids. While highlighting topics such as process mining, innovation management, and sustainability optimization, this publication explores technology development and the mobilization of different environments in smart cities. This book is an important resource for graduate students, researchers, academics, engineers, and government officials seeking current research on how process analysis in energy usage is manifested and how it can be enhanced.

Wind energy is often framed as a factor in rural economic development, an element of the emerging "green economy" destined to upset the dominant greenhouse- gas-emitting energy industry and deliver conscious capitalism to host communities. The bulk of wind energy firms, however, are subsidiaries of the same fossil fuel companies that wrought havoc in shale-gas and coal-mining towns from rural Appalachia to the Great Plains. On its own, wind energy development does not automatically translate into community development. In Governing the Wind Energy Commons, Keith Taylor asks whether revenue generated by wind power can be put to community well-being rather than corporate profit. He looks to the promising example of rural electric cooperatives, owned and governed by the 42 million Americans they serve, which generate $40 billion in annual revenue. Through case studies of a North Dakota wind energy cooperative and an investor-owned wind farm in Illinois, Taylor examines how regulatory and social forces are shaping this emerging energy sector. He draws on interviews with local residents to assess strategies for tipping the balance of power away from absentee-owned utilities.

For a first-year graduate-level course on nonlinear systems. It may also be used for self-study or reference by engineers and applied mathematicians. The text is written to build the level of mathematical sophistication from chapter to chapter. It has been reorganized into four parts: Basic analysis, Analysis of feedback systems, Advanced analysis, and Nonlinear feedback control.

Distribution systems analysis employs a set of techniques to simulate, analyse, and optimise power distribution systems. Combined with automation, these techniques underpin the concept of the smart grid. In recent years, distribution systems have been facing growing challenges, due to increasing demand as well as the rising shares of distributed and volatile renewable energy sources. For this new edition, the chapters of the first edition have been revised and updated, and the topics of distribution system analysis and distribution automation combined. Coverage includes smart grid, load flow analysis, determination of optimal topology, voltage control and capacitor application, power quality and harmonics in distribution systems, distribution system restoration, numerical relaying and distribution feeder protection, distributed generation and microgrid technology. New material related to renewable energy and microgrids are included, and maturity models and evaluation of smart grid projects are presented, along with material on the transition to the new distribution system technologies.

This practical, student-focused text shows how to focus all of an organization's resources on continuous and simultaneous improvement of quality and productivity - thereby continually improving both performance and competitiveness. QUALITY MANAGEMENT FOR ORGANIZATIONAL EXCELLENCE: INTRODUCTION TO TOTAL QUALITY, 7/e coherently addresses all elements of quality management, including Lean, Six Sigma, Lean Six Sigma, and many topics that competitive books overlook (e.g., peak performance, partnering, manufacturing networks, culture, and crucial "people" aspects of quality). Direct and straightforward, it links "big picture" theories and principles to detailed real-world strategies and techniques. Throughout, critical thinking activities, discussion assignments, and research links promote deeper thinking and further exploration. This edition adds all-new cases, plus new information on topics ranging from supervision to certification, QFD and SPC to benchmarking and JIT.

As environmental issues remain at the forefront of energy research, renewable energy is now an all-important field of study. And as smart technology continues to grow and be refined, its applications broaden and increase in their potential to revolutionize sustainability studies. This potential can only be fully realized with a thorough understanding of the most recent breakthroughs in the field. Research Advancements in Smart Technology, Optimization, and Renewable Energy is a collection of innovative research that explores the recent steps forward for smart applications in sustainability. Featuring coverage on a wide range of topics including energy assessment, neural fuzzy control, and biogeography, this book is ideally designed for advocates, policymakers, engineers, software developers, academicians, researchers, and students.

Access to power and electricity is a vital resource for businesses and for sustaining the livelihood of consumers. However, producing reliable and renewable energy and distributing it in rural areas can be challenging. Such activities require special technical support measures for organizing a highly efficient and cost-effective production process. Renewable Energy and Power Supply Challenges for Rural Regions provides innovative insights into energy production, consumption, and distribution in rural regions and examines sustainable and renewable power sources. The content within this publication explores such topics as renewable energy, electrical network, and thermal energy storage. It is designed for electricians, policymakers, state officials, professionals, researchers, and academicians.

Condition monitoring of engineering plants has increased in importance as engineering processes have become increasingly automated. However, electrical machinery usually receives attention only at infrequent intervals when the plant or the electricity generator is shut down. The economics of industry have been changing, placing ever more emphasis on the importance of reliable operation of the plants. Electronics and software in instrumentation, computers, and digital signal processors have improved our ability to analyse machinery online. Condition monitoring is now being applied to a range of systems from fault-tolerant drives of a few hundred watts to machinery of a few hundred MW in major plants. This book covers a large range of machines and their condition monitoring. This 3rd edition builds on the 2nd edition through a major revision, update of chapters and a comprehensive list of references & standards. Permanent magnet, switched reluctance and other types of machines are now covered, as well as variable speed drive machines and off-line techniques. Contents cover an introduction to condition monitoring; rotating electrical machines; electrical machine construction, operation and failure modes; reliability of machines and typical failure rates; signal processing and instrumentation requirements; on-line temperature monitoring; on-line chemical monitoring; on-line vibration monitoring; on-line current, flux and power monitoring; on-line partial discharge (PD) electrical monitoring; on-line variable speed drive machine monitoring; off-line monitoring; condition-based maintenance and asset management; application of artificial intelligence techniques to CM; and safety, training and qualification.