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Hybrid fuzzy controlled isolated microgrid based on RES and ESS

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Energy Storage for Sustainable Microgrid

storage on microgridDetailed solutions for choosing the right ESS for particular microgrid applicationsValuable economics;

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Hybrid Renewable Energy Systems and Microgrids

Hybrid Renewable Energy Systems and Microgrids covers the modeling and analysis for each type of integrated and operational hybrid;

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Modeling and Control of Power Electronic Converters for Microgrid Applications

controlled islanded microgrid are discussed, including the mathematical modeling, controller synthesis, parameter selection and multi-scale stability;

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Joint RES and Distribution Network Expansion Planning Under a Demand Response Framework

relevant to the planning of insular distribution systems, including DR and hybrid storage. DR and ESS will play a much more significant role;

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Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

This book describes recent advances on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and;

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Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms

We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid;

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Fuzzy Hybrid Computing in Construction Engineering and Management

This book provides an introduction to fuzzy logic and surveys emerging research trends and the application of state-of-the-art fuzzy hybrid;

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Fuzzy Model Identification

During the past few years two principally different approaches to the design of fuzzy controllers have emerged: heuristics-based design and;

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

applications of fuzzy logic, neural networks and hybrid intelligent systems in medical contexts. Finally, the fifth part focuses on applications;

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

applications of fuzzy logic, neural networks and hybrid intelligent systems in medical contexts. Finally, the fifth part focuses on applications;

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Hybrid Algorithms, Techniques and Implementations of Fuzzy Logic

Hybrid Algorithms, Techniques and Implementations of Fuzzy Logic studies various aspects of Fuzzy logic including an extensive overview;

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Microgrid Technologies

energy conversion system, presents the fuzzy logic-based power quality assessments, and covers various power quality indices. The final;

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Microgrids

Microgrids offers a complete discussion and details about microgrids and their applications, including modeling of AC/DC and hybrid grids;

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Microgrids

Microgrids offers a complete discussion and details about microgrids and their applications, including modeling of AC/DC and hybrid grids;

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Fuzzy Logic-Based Modeling in Collaborative and Blended Learning

and modeling through the integration of research on advanced modeling techniques, educational technologies, fuzzy concept maps, hybrid;

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Microgrid Technology and Engineering Application

This book is based on the authors' research and microgrid projects since 2009, and is the most up-to-date resource on the development;

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Microgrids

Microgrids: Design, Applications and Control presents a comprehensive discussion on the modeling and analysis of microgrids. The authors;

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Fuzzy Logic Handbook

intelligent systems. This book discusses hybrid algorithms, techniques, and implementations of fuzzy logic. The main focus of the book is on the;

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Urban DC Microgrid

Urban DC Microgrid: Intelligent Control and Power Flow Optimization focuses on microgrids for urban areas, particularly associated with;

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New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension

as a hybrid intelligent system combining modular neural net-works and fuzzy systems. The different responses of the hybrid system are;

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Applied Soft Computing

, hybrid models, machine learning, meta heuristics, neuro fuzzy system, and optimization principles. The book acts as a reference book for AI;

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Fuzzy Controller Design

fuzzy controller implementation and different implementation platforms for various applications. With proven methods based on more than a;

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Fuzzy Decision Making Methods Based on Prospect Theory and Its Application in Ve

This book gives a thorough and systematic introduction to the latest research results about fuzzy decision-making method based on prospect;

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Fuzzy Decision Making Methods Based on Prospect Theory and Its Application in Ve

This book gives a thorough and systematic introduction to the latest research results about fuzzy decision-making method based on prospect;

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Advanced Fuzzy Logic Approaches in Engineering Science

problems like fuzzy sets theory, adaptive neuro fuzzy inference system, and hybrid fuzzy logic genetic algorithms belief networks in industrial and;

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Soft Computing with NeuroFuzzy Systems

recurrent neuro-fuzzy systems for fault prognosis; and neuro-fuzzy model for QoS based selection of web service. Section 2 focuses on adaptive;

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