Network Power

For all the attention globalization has received in recent years, little consensus has emerged concerning how best to understand it. For some, it is the happy product of free and rational choices; for others, it is the unfortunate outcome of impersonal forces beyond our control. It is in turn celebrated for the opportunities it affords and criticized for the inequalities in wealth and power it generates. David Singh Grewal’s remarkable and ambitious book draws on several centuries of political and social thought to show how globalization is best understood in terms of a power inherent in social relations, which he calls network power. Using this framework, he demonstrates how our standards of social coordination both gain in value the more they are used and undermine the viability of alternative forms of cooperation. A wide range of examples are discussed, from the spread of English and the gold standard to the success of Microsoft and the operation of the World Trade Organization, to illustrate how global standards arise and falter. The idea of network power supplies a coherent set of terms and concepts—applicable to individuals, businesses, and countries alike—through which we can describe the processes of globalization as both free and forced. The result is a sophisticated and novel account of how globalization, and politics, work.

This collection of scholarly papers examines the influence of Japanese dominance on the politics, economies, and cultures of Southeast Asia. A major question probed is whether Japan has now attained, through economic power, the predominance it once sought through military means. Japan's hegemonic system is not the first to work over the area--before it were those from China, from Britain, from the United States. This collection's comparative perspective acknowledges the distinctiveness of Asian regionalism and Japan's changing role with it. As the subtitle of this book indicates, it is concerned with Japan and Asia and not with Japan in Asia, thus suggesting a complex and at the same time problematical regional identity for Japan.

Absent Rebels: Criticism and Network Power in 21st Century Dystopian Fiction focuses on the relationship between literary dystopia, network power and neoliberalism, explaining why rebellion against a dystopian system is absent in so many contemporary dystopian novels. Also, this book helps readers understand modern power mechanisms and shows ways how to overcome them in our own daily lives.

In this paper, we research on the distance measure between single-valued neutrosophic sets based on the H-max measure.

Power system computing with neural networks is one of the fastest growing fields in the history of power system engineering. Since 1988, a considerable amount of work has been done in investigating computing capabilities of neural networks and understanding their relevance to providing efficient solutions for outstanding complex problems of the electric power industry. A principal objective of a power utility is to provide electric energy to its customers in a secure, reliable and economic manner. Toward this aim, utility personnel are engaged in a variety of activities in areas of supervisory control and monitoring, evaluation of operating conditions, operation planning and scheduling, system development, equipment testing, etc. Over the past decades significant advances have been made in the development of new concepts, design of hardware and software systems, and implementation of solid-state devices which all contributed to the steadily improving power system performance that we are experiencing today. Advanced information processing technologies played an important role in these development efforts. Members of the Special Interest Group for Power Engineering of the INNS recognized the need for bringing together leading researchers in the field of neurocomputing with experts from power utilities and manufacturing companies to assess the current state of affairs and to explore the directions of further research and practice. This book is based on The Summer Workshop on Neural Network Computing for the Electric Power Industry which brought together approximately forty specialists with backgrounds in power engineering, system operation and planning, neural network theory and AI systems design. An informal and highly inspiring atmosphere of the workshop facilitated open discussion and exchange of expertise between the participants.

The surge in renewable and distributed energy sources has posed significant challenges for smart power distribution network (SPDN). These challenges fall into two main categories: the unpredictability of renewable energy sources and the complexities introduced by numerous electrical devices and their interdependencies, affecting forecasting and operational performance. As the emphasis on SPDN's economic and environmental aspects grows, this book focuses on the vital themes of sustainability and cost-efficiency in SPDN forecasting, planning, and operation. It is structured into three key parts: 1. SPDN Situation Awareness: This section assesses prior research methods, analyzes their shortcomings while dissecting SPDN's unique situation awareness characteristics. Then, some forecast and virtual collection methods are presented. 2. Boosting SPDN Planning: Addressing optimal planning challenges in SPDN, this part introduces advanced modelling and algorithm solving techniques, tailored to mitigate SPDN's inherent uncertainty. 3. Enhancing SPDN Operation: Considering a variety of equipment types and controllable loads, this section explores strategies to boost SPDN operational performance. It covers control methodologies for electric vehicles, flexible loads, energy storage, and related equipments, etc. Tailored for university researchers, engineers, and graduate students in electrical engineering and computer science, this book is a valuable resource for comprehending SPDN's situation awareness, planning, and operation intricacies in the context of sustainability and economic efficiency.

This book is a short introduction to power system planning and operation using advanced geometrical methods. The approach is based on well-known insights and techniques developed in theoretical physics in the context of Riemannian manifolds. The proof of principle and robustness of this approach is examined in the context of the IEEE 5 bus system. This work addresses applied mathematicians, theoretical physicists and power engineers interested in novel mathematical approaches to power network theory.

Intelligent Coordinated Control of Complex Uncertain Systems for Power Distribution and Network Reliability discusses the important topics revolving around the control of complex uncertain systems using the intelligent coordination control mechanism, a topic that has become the research focus of current control and computer fields. The book provides theoretical guidance for power distribution network reliability analysis, focusing on practical problems and algorithms within the field. Provides effective solutions for complex control systems Presents theoretical guidance for power distribution network reliability analysis Focuses on practical problems and algorithms