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Enhancement of Industrial Energy Efficiency and Sustainability
Industrial energy efficiency has been recognized as a major contributor, in the broader set of industrial resources, to improved sustainability and circular economy. Nevertheless, the uptake of energy efficiency measures and practices is still quite low, due to the existence of several barriers. Research has broadly discussed them, together with their drivers. More recently, many researchers have highlighted the existence of several benefits, beyond mere energy savings, stemming from the adoption of such measures, for several stakeholders involved in the value chain of energy efficiency solutions. Nevertheless, a deep understanding of the relationships between the use of the energy resource and other resources in industry, together with the most important factors for the uptake of such measures—also in light of the implications on the industrial operations—is still lacking. However, such understanding could further stimulate the adoption of solutions for improved industrial energy efficiency and sustainability.
Heavy Tailed Functional Time Series
The goal of this thesis is to treat the temporal tail dependence and the cross-sectional tail dependence of heavy tailed functional time series. Functional time series are aimed at modelling spatio-temporal phenomena; for instance rain, temperature, pollution on a given geographical area, with temporally dependent observations. Heavy tails mean that the series can exhibit much higher spikes than with Gaussian distributions for instance. In such cases, second moments cannot be assumed to exist, violating the basic assumption in standard functional data analysis based on the sequence of autocovariance operators. As for random variables, regular variation provides the mathematical backbone for ...
The Life Cycle of Copper, Its Co-Products and Byproducts
Achieving the goals and objectives of sustainable development requires better information about the consequences of proposed actions. Partial information accounts for many failed efforts in the past. The financial implications for the proponent of the projects have often been more thoroughly analyzed than the implications for other actors. The impacts on biological diversity, or on the social fabric of local communities, have often been ignored. Decisi- makers may also focus more on the short-term consequences instead of long- term impacts, creating negative unintended consequences. It is clear that better decision-making processes are needed. Making better decisions requires identifying, ob...
Extreme Values in Finance, Telecommunications, and the Environment
Because of its potential to ...predict the unpredictable,... extreme value theory (EVT) and methodology is currently receiving a great deal of attention from statistical and mathematical researchers. This book brings together world-recognized authorities in their respective fields to provide expository chapters on the applications, use, and theory of extreme values in the areas of finance, insurance, the environment, and telecommunications. The comprehensive introductory chapter by Richard Smith ensures a high level of cohesion for this volume.
Use of Economic Instruments in Nordic Environmental Policy 2018–2021
Available online: https://pub.norden.org/temanord2023-520/ This is the nineth quadrennial report on the use of economic instruments in Nordic environmental policy published by the Nordic Working Group for Environment and Economics. The report contains two parts. Part 1 summarizes the most significant developments in the use of economic instruments in the environmental policies in the Nordic countries. It provides an overview of new instruments or major changes to existing instruments from 2018 to 2021 in the Nordic countries. The biggest changes are seen in the transport sector and in the field of energy and air pollution. Part 2 provides an overview of policies and instruments the Nordic countries have used to promote clean technologies. Most common is the use of a mix of environmental taxes and subsidies. Each country has chosen different technological paths depending on national and sector characteristics, as well as national preferences.
Stationary Stochastic Processes for Scientists and Engineers
Stochastic processes are indispensable tools for development and research in signal and image processing, automatic control, oceanography, structural reliability, environmetrics, climatology, econometrics, and many other areas of science and engineering. Suitable for a one-semester course, Stationary Stochastic Processes for Scientists and Engineers teaches students how to use these processes efficiently. Carefully balancing mathematical rigor and ease of exposition, the book provides students with a sufficient understanding of the theory and a practical appreciation of how it is used in real-life situations. Special emphasis is on the interpretation of various statistical models and concept...
Statistics of Extremes
Research in the statistical analysis of extreme values has flourished over the past decade: new probability models, inference and data analysis techniques have been introduced; and new application areas have been explored. Statistics of Extremes comprehensively covers a wide range of models and application areas, including risk and insurance: a major area of interest and relevance to extreme value theory. Case studies are introduced providing a good balance of theory and application of each model discussed, incorporating many illustrated examples and plots of data. The last part of the book covers some interesting advanced topics, including time series, regression, multivariate and Bayesian modelling of extremes, the use of which has huge potential.
Handbook on Climate Change and Technology
This timely Handbook presents the latest knowledge on technological innovation for climate change mitigation and adaptation. Looking beyond technical fixes, it further draws on economics, politics and sociology to explore how modern technology can contribute to effective and socially just sustainability transitions.
Musical America
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