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Energy and Behaviour
Changes to energy behaviour - the role of people and organisations in energy production, use and efficiency - are critical to supporting a societal transition towards a low carbon and more sustainable future. However, which changes need to be made, by whom, and with what technologies are still very much under discussion. This book, developed by a diverse range of experts, presents an international and multi-faceted approach to the sociotechnical challenge of engaging people in energy systems and vice versa. By providing a multidisciplinary view of this field, it encourages critical thinking about core theories, quantitative and qualitative methodologies, and policy challenges. It concludes by addressing new areas where additional evidence is required for interventions and policy-making. It is designed to appeal to new entrants in the energy-efficiency and behaviour field, particularly those taking a quantitative approach to the topic. Concurrently, it recognizes ecological economist Herman Daly's insight: what really counts is often not countable.
Aiding Decisions with Multiple Criteria
Aiding Decisions With Multiple Criteria: Essays in Honor of Bernard Roy is organized around two broad themes: Graph Theory with path-breaking contributions on the theory of flows in networks and project scheduling, Multiple Criteria Decision Aiding with the invention of the family of ELECTRE methods and methodological contribution to decision-aiding which lead to the creation of Multi-Criteria Decision Analysis (MCDA). Professor Bernard Roy has had considerable influence on the development of these two broad areas. £/LIST£ Part one contains papers by Jacques Lesourne, and Dominique de Werra & Pierre Hansen related to the early career of Bernard Roy when he developed many new techniques and...
Evolutionary Computation in Dynamic and Uncertain Environments
This book compiles recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The book is motivated by the fact that some degree of uncertainty is inevitable in characterizing any realistic engineering systems. Discussion includes representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums.
Soft Computing in Industrial Applications
The 15th Online World Conference on Soft Computing in Industrial Applications, held on the Internet, constitutes a distinctive opportunity to present and discuss high quality papers, making use of sophisticated Internet tools and without incurring in high cost and, thus, facilitating the participation of people from the entire world. The book contains a collection of papers covering outstanding research and developments in the field of Soft Computing including, evolutionary computation, fuzzy control and neuro-fuzzy systems, bio-inspired systems, optimization techniques and application of Soft Computing techniques in modeling, control, optimization, data mining, pattern recognition and traffic and transportation systems.
Vehicle Electrification in Modern Power Grids
Vehicle Electrification in Modern Power Grids: Disruptive Perspectives on Power Electronics Technology and Control Challenges collects the newest advances in technology for electric vehicle integration into one practical volume for professionals and advanced researchers. The book not only summarizes and clarifies legislation and grid codes for the area, but also outlines the modeling and analytical techniques needed, including predicting power converter reliability and its remaining useful life. Specializing in microgrid clusters, the book provides advanced power electronics device technology from wide-band-gap (WBG) to DSP-based digital control platforms and new materials for passive filter...
The Political Economy of Electricity
Providing critical insights that will interest readers ranging from economists to environmentalists, policymakers, and politicians, this book analyzes the economics and technology trends involved in the dilemma of decarbonization and addresses why aggressive policy is required in a capitalist political economy to create a sea change away from fossil fuels. The environmental damage across the globe is a result of the success of capitalist industrialism—250 years of carbon pollution resulting from consumption of fossil fuels to drive the economy and the worldwide aspiration to ever-increasing levels of economic development. But capitalism has also produced the tools to solve the problems it ...
Proceedings of the 18th Online World Conference on Soft Computing in Industrial Applications (WSC18)
This book gathers the papers presented at the 18th Online World Conference on Soft Computing in Industrial Applications (WSC18), which was held on 1-12 December 2014 on the World Wide Web. The conference is open to all academics, students and industrial/commercial parties, and is hosted online between authors and participants over the Internet. The 2014 installment of the Online World Conference on Soft Computing in Industrial Application consisted of a selected keynote speech, invited talks, tutorials, special sessions, and general track papers. The program committee received a total of 51 submissions from 12 countries, reflecting the international nature of the event. Each paper was peer-reviewed (typically by 3 reviewers), culminating in the acceptance of 20 papers for publication.
Computational Management Science
This volume contains contributions from the 11th International Conference on Management Science (CMS 2014), held at Lisbon, Portugal, on May 29-31, 2014. Its contents reflect the wide scope of Management Science, covering different theoretical aspects for a quite diverse set of applications. Computational Management Science provides a unique perspective in relevant decision-making processes by focusing on all its computational aspects. These include computational economics, finance and statistics; energy; scheduling; supply chains; design, analysis and applications of optimization algorithms; deterministic, dynamic, stochastic, robust and combinatorial optimization models; solution algorithms, learning and forecasting such as neural networks and genetic algorithms; models and tools of knowledge acquisition, such as data mining; and all other topics in management science with the emphasis on computational paradigms.
Soft Computing Applications for Renewable Energy and Energy Efficiency
As the climate and environment continue to fluctuate, researchers are urgently looking for new ways to preserve our limited resources and prevent further environmental degradation. The answer can be found through computer science, a field that is evolving at precisely the time it is needed most. Soft Computing Applications for Renewable Energy and Energy Efficiency brings together the latest technological research in computational intelligence and fuzzy logic as a way to care for our environment. This reference work highlights current advances and future trends in environmental sustainability using the principles of soft computing, making it an essential resource for students, researchers, engineers, and practitioners in the fields of project engineering and energy science.
