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Sustainable Development Goals or SDGs refer to the UN stipulated road-map for development in 17 defined areas, by 2030. It was built on the previously established Millennium Development Goals (MDG). This first volume (SDG-1) deals with eradicating poverty with the help of modern ICT technologies needed to end poverty and create a better society. This much needed book, which is the first of its type to offer a specific focus on the relationship between technology and the SDG-1 goal, will be valuable for all working in the subject of global sustainable development. Global organisations and representatives of governments targeting no poverty share knowledge on these ICT practices to eradicate poverty in all means.
Since its publication in the early 90s, Brenda Boardman's Fuel Poverty has been the reference text for those wishing to learn about this complex subject. In this, its successor, she turns a critical eye to the new millennium and finds that the situation, while now more widely recognised, is far from having improved. The book begins by discussing the political awakening to the issue and exploring just who constitutes the fuel poor. It examines the factors that contribute to fuel poverty - low incomes, high fuel prices and poor quality housing - and looks at and evaluates the policies that have been employed to help reduce the problem. The latter part presents a detailed set of proposals based around long-term improvements in the housing stock that must be employed if we are to avoid a dire situation continuing to get worse. Based on detailed analysis of the situation in the UK, the growth of fuel poverty (sometimes called energy poverty) in other countries and the new focus in European policy makes the book timely and provides important lessons for those who now have to produce policies to tackle the issues.
We are now entering the third decade of the 21st Century, and, especially in the last few years, the achievements made by researchers have been exceptional, leading to major advancements in the fast-growing field of energy and society. Frontiers has organized a series of Research Topics to highlight the latest advancements in research across the field of sustainable energy policy, with articles from the Associate Members of our accomplished Editorial Boards. This editorial initiative of particular relevance, led by Professor Sanya Carley, Specialty Chief Editor of the Energy and Society section, is focused on new insights, novel developments, current challenges, latest discoveries, recent advances, and future perspectives in the energy and society field. The Research Topic solicits brief, forward-looking contributions from the editorial board members that describe the state of the art, outlining, recent developments and major accomplishments that have been achieved and that need to occur to move the field forward. Authors are encouraged to identify the greatest challenges in the sub-disciplines, and how to address those challenges. The goal of this special edition Research Topic is to shed light on the progress made in the past decade in the energy and society field, and on its future challenges to provide a thorough overview of the field. This article collection will inspire, inform and provide direction and guidance to researchers in the field.
Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions. In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas. - Presents data sources that are available for application in sustainability analyses, such as market information, environmental monitoring data, social media data and satellite imagery - Includes considerations sustainability analysts must evaluate when applying big data - Features case studies illustrating the application of data science in sustainability analyses
An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.
This Intergovernmental Panel on Climate Change Special Report (IPCC-SRREN) assesses the potential role of renewable energy in the mitigation of climate change. It covers the six most important renewable energy sources - bioenergy, solar, geothermal, hydropower, ocean and wind energy - as well as their integration into present and future energy systems. It considers the environmental and social consequences associated with the deployment of these technologies, and presents strategies to overcome technical as well as non-technical obstacles to their application and diffusion. SRREN brings a broad spectrum of technology-specific experts together with scientists studying energy systems as a whole. Prepared following strict IPCC procedures, it presents an impartial assessment of the current state of knowledge: it is policy relevant but not policy prescriptive. SRREN is an invaluable assessment of the potential role of renewable energy for the mitigation of climate change for policymakers, the private sector, and academic researchers.
"The ongoing COVID-19 pandemic marks the most significant, singular global disruption since World War II, with health, economic, political, and security implications that will ripple for years to come." -Global Trends 2040 (2021) Global Trends 2040-A More Contested World (2021), released by the US National Intelligence Council, is the latest report in its series of reports starting in 1997 about megatrends and the world's future. This report, strongly influenced by the COVID-19 pandemic, paints a bleak picture of the future and describes a contested, fragmented and turbulent world. It specifically discusses the four main trends that will shape tomorrow's world: - Demographics-by 2040, 1.4 billion people will be added mostly in Africa and South Asia. - Economics-increased government debt and concentrated economic power will escalate problems for the poor and middleclass. - Climate-a hotter world will increase water, food, and health insecurity. - Technology-the emergence of new technologies could both solve and cause problems for human life. Students of trends, policymakers, entrepreneurs, academics, journalists and anyone eager for a glimpse into the next decades, will find this report, with colored graphs, essential reading.
This study presents options to fully unlock the world’s vast solar PV potential over the period until 2050. It builds on IRENA’s global roadmap to scale up renewables and meet climate goals.
Conditional Cash Transfer (CCT) programs aim to reduce poverty by making welfare programs conditional upon the receivers' actions. That is, the government only transfers the money to persons who meet certain criteria. These criteria may include enrolling children into public schools, getting regular check-ups at the doctor's office, receiving vaccinations, or the like. They have been hailed as a way of reducing inequality and helping households break out of a vicious cycle whereby poverty is transmitted from one generation to another. Do these and other claims make sense? Are they supported by the available empirical evidence? This volume seeks to answer these and other related questions. Specifically, it lays out a conceptual framework for thinking about the economic rationale for CCTs; it reviews the very rich evidence that has accumulated on CCTs; it discusses how the conceptual framework and the evidence on impacts should inform the design of CCT programs in practice; and it discusses how CCTs fit in the context of broader social policies. The authors show that there is considerable evidence that CCTs have improved the lives of poor people and argue that conditional cash transfers have been an effective way of redistributing income to the poor. They also recognize that even the best-designed and managed CCT cannot fulfill all of the needs of a comprehensive social protection system. They therefore need to be complemented with other interventions, such as workfare or employment programs, and social pensions.