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(SAM-PD) framework that can be applied by energy system developers, managers and decision makers to involve a wide range of stakeholders;
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involved within an integrated framework for decision-making in the power sector. In addition, it presents a state-of-play on current energy systems;
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of Complex Systems and Processes ; Theoretical and Applied Aspects of Decision-Making Systems ; and Computational Intelligence and Inductive Modeling;
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include theory systems, computer-aided methods, algorithms, techniques and applications related to supporting decision making. The aim is to;
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optimization with application to energy systems is provided, along with decision-making tools for multi-objective problems, multi-criteria problems;
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Modeling of Complex Systems and Processes, Theoretical and Applied Aspects of Decision-Making Systems and Computational Intelligence and;
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diverse perspectives of these complex entities. Further, this book introduces a contribution to the definition of reference models for;
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diverse perspectives of these complex entities. Further, this book introduces a contribution to the definition of reference models for;
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. Definitions and new trends for these models are given, along with types of systems. Contents 1. Alteration of Decision-Making Processes;
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handle di?cult decision-making situations such as computer-supported situation assessment and distributed decision making. To make good use;
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effects analysis, fuzzy set theory, petri-net, multi-criteria decision-making (MCDM), and soft computing are used for solving problems;
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methodologies for complex decision-making when designing, deploying and managing biomass and bio-based products supply chains Includes real;
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In recent years, scientists and researchers have been continually searching for efficient and effective ways to harness solar energy for;
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In recent years, scientists and researchers have been continually searching for efficient and effective ways to harness solar energy for;
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This book presents various multi-criteria analysis methods for sustainability-oriented analysis and decision-making for energy systems;
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systems and policy decision making processes, both for the public and private sector. Up to now, more than 500 first-year students and 30 Ph.D;
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, and provides a unique portfolio of decision-making methodologies supporting the selection of the most suitable options for offshore renewable;
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Artificial Neural Networks for Renewable Energy Systems and Real-World Applications presents current trends for the solution of complex;
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pervasive. The appraisal of energy technologies and projects is complex and uncertain as the related decision making has to encompass environmental;
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, focusing on quantifying risk and constructing probabilities for real-world decision-making, including engineering, design, technology, institutions;
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decision process. Focusing on reliable and practical methods this book provides an invaluable primer for the complex area of decision making with;
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structures of an energy system, the reader gains an enhanced understanding of the stocks and flows of complex systems as well as their role in energy;
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such as modeling and simulation and decision making with business and economic problems. This is especially useful when dealing with complex;
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recommendations for decision making and appropriate approaches to the specification and procurement of energy efficient exterior lighting systems;
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Decision makers in the Renewable Energy sector face an increasingly complex social, economic, technological, and environmental scenario;
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modeling, and model construction, presenting a framework that provides clear decision-making support in practice. In addition, it includes hybrid;
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Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large;
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