The world is moving away from demand-driven electricity markets supplied by centralized generation and distribution of fossil-fuel-produced electricity. Increasing reliance on weather-dependent renewable sources will require a shift toward a supply-driven paradigm, while beneficial electrification, including widespread adoption of electric vehicles, heat pumps, and batteries will offer considerable but widely distributed demand flexibility that can be used to compensate for supply variability. The open-source Power Trading Agent Competition (Power TAC) platform simulates a decentralized future, modeling the high complexity of future retail electricity markets. This book describes a variety of approaches to profitable trading in realistic wholesale and retail electricity markets. It presents actionable insights from extensive exploration of policies and business models for retail electricity markets gained from a decade of Power TAC tournaments, and from research inspired by the Power TAC experience. Featuring contributions from tournament designers, competitors, and scientists combining best practices from computer science and economics and management science, this book is of benefit to academics, researchers, practitioners and policy makers in sustainable energy and wholesale and retail electricity markets.

This book paves the way for researchers working on the sustainable interdependent networks spread over the fields of computer science, electrical engineering, and smart infrastructures. It provides the readers with a comprehensive insight to understand an in-depth big picture of smart cities as a thorough example of interdependent large-scale networks in both theory and application aspects. The contributors specify the importance and position of the interdependent networks in the context of developing the sustainable smart cities and provide a comprehensive investigation of recently developed optimization methods for large-scale networks. There has been an emerging concern regarding the optimal operation of power and transportation networks. In the second volume of Sustainable Interdependent Networks book, we focus on the interdependencies of these two networks, optimization methods to deal with the computational complexity of them, and their role in future smart cities. We further investigate other networks, such as communication networks, that indirectly affect the operation of power and transportation networks. Our reliance on these networks as global platforms for sustainable development has led to the need for developing novel means to deal with arising issues. The considerable scale of such networks, due to the large number of buses in smart power grids and the increasing number of electric vehicles in transportation networks, brings a large variety of computational complexity and optimization challenges. Although the independent optimization of these networks lead to locally optimum operation points, there is an exigent need to move towards obtaining the globally-optimum operation point of such networks while satisfying the constraints of each network properly. The book is suitable for senior undergraduate students, graduate students interested in research in multidisciplinary areas related to future sustainable networks, and the researchers working in the related areas. It also covers the application of interdependent networks which makes it a perfect source of study for audience out of academia to obtain a general insight of interdependent networks.

This book responds to the opening up of electricity markets to competition, which has completely changed the nature of power generation. The building of new generation and transmission capacity and the setting of the energy mix between nuclear, gas and renewable resources are mainly left to private initiative and investors. The authors and the editor of this book explore whether or not market forces offer a sustainable future for electricity generation. They employ economic theory and method to answer questions such as: Will the market be able to ensure adequacy of generation capacity and secu.

In the environment of energy systems, the effective utilization of both conventional and renewable sources poses a major challenge. The integration of microgrid systems, crucial for harnessing energy from distributed sources, demands intricate solutions due to the inherent intermittency of these sources. Academic scholars engaged in power system research find themselves at the forefront of addressing issues such as energy source estimation, coordination in dynamic environments, and the effective utilization of artificial intelligence (AI) techniques. Intelligent Solutions for Sustainable Power Grids focuses on emerging research areas, this book addresses the uncertainty of renewable energy sources, employs state-of-the-art forecasting techniques, and explores the application of AI techniques for enhanced power system operations. From economic aspects to the digitalization of power systems, the book provides a holistic approach. Tailored for undergraduate and postgraduate students as well as seasoned researchers, it offers a roadmap to navigate the intricate landscape of modern power systems. Dive into a wealth of knowledge encompassing smart energy systems, renewable energy integration, stability analysis of microgrids, power quality enhancement, and much more. This book is not just a guide; it is the solution to the pressing challenges in the dynamic field of energy systems.

A series of roundtable meetings on U.S. energy policy were held around the nation, Aug. 2, 1994-Jan. 13, 1995. Participants sought public input on energy topics. Here are summaries of the roundtable meetings, including questions from their audiences.

The electricity sector's reforms aim to modernise its infrastructure, rules, policies, and procedures to allow for more efficiency and for clean energy to have the same playing field in the power competition/wholesale/retail electricity market. This will enable inefficient power to be phased out gradually. Over the past 2 decades, there has been remarkable progress in the Association of Southeast Asian Nations (ASEAN) electricity markets that has increased the electrification ratio substantially; however, it has not achieved free market competition, universal electrification, and emission reduction plans. ASEAN aims to achieve universal access to electricity by 2030.Electricity Market Reforms in ASEAN, China, India, and Japan provides 10 empirical studies investigating and evaluating the electricity market reforms in Southeast Asia, China, India, and Japan. The book analyses the electricity market policy reform plans, market liberalisation, tariff reform, electricity trade, renewable energy integration, resource allocation, and the sustainability of the electricity market in the region and these countries. It provides policy recommendations to foster the reforms and increase market efficiency.

This book offers a broad and detailed view about how traditional distribution systems are evolving smart/active systems. The reader will be able to share the view of a number of researchers directly involved in this field. For this sake, philosophical discussions are enriched by the presentation of theoretical and computational tools. A senior reader may incorporate some concepts not available during his/her graduation process, whereas new Engineers may have contact with some material that may be essential to his/her practice as professionals.

Introduces a bold, new model for energy industry pollution prevention and sustainable growth Balancing industrial pollution prevention with economic growth is one of the knottiest problems faced by industry today. This book introduces a novel approach to using data envelopment analysis (DEA) as a powerful tool for achieving that balance in the energy industries—the world’s largest producers of greenhouse gases. It describes a rigorous framework that integrates elements of the social sciences, corporate strategy, regional economics, energy economics, and environmental policy, and delivers a methodology and a set of strategies for promoting green innovation while solving key managerial challenges to greenhouse gas reduction and business growth. In writing this book the authors have drawn upon their pioneering work and considerable experience in the field to develop an unconventional, holistic approach to using DEA to assess key aspects of sustainability development. The book is divided into two sections, the first of which lays out a conventional framework of DEA as the basis for new research directions. In the second section, the authors delve into conceptual and methodological extensions of conventional DEA for solving problems of environmental assessment in all contemporary energy industry sectors. Introduces a powerful new approach to using DEA to achieve pollution prevention, sustainability, and business growth Covers the fundamentals of DEA, including theory, statistical models, and practical issues of conventional applications of DEA Explores new statistical modeling strategies and explores their economic and business implications Examines applications of DEA to environmental analysis across the complete range of energy industries, including coal, petroleum, shale gas, nuclear energy, renewables, and more Summarizes important studies and nearly 800 peer reviewed articles on energy, the environment, and sustainability Environmental Assessment on Energy and Sustainability by Data Envelopment Analysis is must-reading for researchers, academics, graduate students, and practitioners in the energy industries, as well as government officials and policymakers tasked with regulating the environmental impacts of industrial pollution.

The necessity for the fundamental practice of regulating fair competition in a globalized world cannot be overstated. This promotes innovation, productivity, and serves as a safeguard against monopolies that could stifle progress. Regulating Fair Competition Toward Sustainable Development Goals is an insightful and comprehensive exploration of the vital link between competition law and policy and the United Nations' Sustainable Development Goals (SDGs). At its core, this book delves into the crucial role of fair competition in fostering innovation and driving economic growth. By encouraging corporations to continuously seek novel ideas and invest in research and development, fair competition paves the way for improved productivity and cost-effective production. Moreover, this legal framework stands as a bulwark against monopolies, which can suppress innovation, limit consumer choice, and escalate prices. The editors deftly elucidate the importance of competition law and policy in creating an open and fair marketplace that benefits consumers, businesses, and the environment. Bringing together a distinguished collection of academics and industry experts, this book delves into a broad spectrum of topics, including economy, environment, energy, technology, employment, business, and management. By examining various perspectives, the book offers a nuanced understanding of the implementations and limitations of competition law and policy in the context of sustainable development. This timely and significant volume caters to a diverse audience comprising academics, students, policy makers, and government and private research institutions. Furthermore, industry leaders and corporations will find valuable insights on how fair competition can foster sustainable development, making this book a must-read for those seeking to navigate the intersection of competition law and the SDGs.

Energy has been a crucial element for human beings and sustainable development. The issues of global warming and non-green energy have yet to be resolved. This book is a collection of twelve articles that provide strong evidence for the success of artificial intelligence deployment in energy research, particularly research devoted to non-intrusive load monitoring, network, and grid, as well as other emerging topics. The presented artificial intelligence algorithms may provide insight into how to apply similar approaches, subject to fine-tuning and customization, to other unexplored energy research. The ultimate goal is to fully apply artificial intelligence to the energy sector. This book may serve as a guide for professionals, researchers, and data scientists—namely, how to share opinions and exchange ideas so as to facilitate a better fusion of energy, academic, and industry research, and improve in the quality of people's daily life activities.