Soft Computing Applications for Renewable Energy and Energy Efficiency

Soft Computing Applications for Renewable Energy and Energy Efficiency

Maria del Socorro García Cascales (Technical University of Cartagena, Spain), Juan Miguel Sánchez Lozano (University Centre of Defence at the Spanish Air Force Academy, Technical University of Cartagena, Spain), Antonio David Masegosa Arredondo (University of Granada, Spain) and Carlos Cruz Corona (University of Granada, Spain)
Indexed In: SCOPUS
Release Date: October, 2014|Copyright: © 2015 |Pages: 408
ISBN13: 9781466666313|ISBN10: 1466666315|EISBN13: 9781466666320|DOI: 10.4018/978-1-4666-6631-3


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.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Applications in Renewable Energy
  • Electricity and Transmission
  • Energy Efficiency
  • Environmental Impact and Sustainability
  • Measurement and Verification of Energy Savings
  • Renewable Energy in Rural and Isolated Areas
  • Renewable Energy Resources
  • Smart Cities

Reviews and Testimonials

Changing climate patterns are having far reaching effects on the environment, energy use, and many other aspects of our life. However even with the wealth of data available, understanding the patterns and making predictions is extremely challenging. This book includes contributions from top researchers that explore the ways that computational intelligence and fuzzy logic can be used to understand renewable energy and energy efficiency. Each journal style article considers new technological advances and their potential use for environmental sustainability. Specific topics covered include electricity and transmissions, verification of energy savings, renewable energy in rural areas and smart cities.

– ProtoView Book Abstracts (formerly Book News, Inc.)

This book offers an interesting and broad catalogue of the use of state-of-the-art Soft Computing techniques in many important fields related to Renewable Energies and Energy Efficiency. Academicians and practitioners in these areas will find a complete guide about the current and future trends on the application of fuzzy sets, metaheuristics or neural networks to the above mentioned areas. Highly Recommended.

– Dr. Ali Ebrahimnejad, Department of Mathematics, Islamic Azad University, Iran

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Maria del Socorro García Cascales received the MS degree in Industrial Engineering and the PhD degree in Industrial Engineering from the Technical University of Cartagena, Murcia, Spain, in 2009. She received the Technical University of Cartagena’s Doctorate award in 2010. She is a Professor in the Department of Electronic Computer Architecture and Project Engineering (DETCP) of the Technical University of Cartagena, and a member of the Models of Decision and Optimization (MODO) Research Group of the University of Granada, Spain. She has published 14 papers in scientific journals of impact and 16 chapters in books. She has more than 50 publications in national and international congresses. She is currently involved in a research project on “Applicability of Soft Computing in Advanced Technology Environments: Sustainability.” Her current scientific interests are Soft Computing, Fuzzy Sets and Systems, Decision Support Systems, Applications in Engineering Projects, Renewable Energy, and Project Management.
Juan Miguel Sánchez Lozano has been an Industrial Engineering Professor from the Technical University of Cartagena since 2004 and has the Master in Renewable Energies title, Murcia 2010, and the European Doctorate in Renewable Energy from the Technical University of Cartagena, Murcia, 2013. Currently, he develops his work as a well known professional in the field of engineering projects, and he is also an Full-Time Senior Lecturer and Researcher at the University Centre of Defence at the Spanish Air Force Academy. He is a member of the Official College of Industrial Engineers of the Region of Murcia. He has published papers in scientific journals, and he has a large number of publications in national and international conferences. His research is currently focuses on decision making in Renewable Energy, Geographic Information Systems (GIS) and Cartography, multicriteria decision methods in engineering projects, and fuzzy logic applied to multicriteria decision making.
Antonio David Masegosa Arredondo took his university degree in Computer Engineering in 2005 and his PhD in Computer Sciences in 2010, both from the University of Granada, Spain. From June 2010, he has been a post-doc researcher at the Research Center for ICT of the University of Granada. He has published 3 books and more than 20 manuscripts in leading scientific journals and in both international and national conferences. He is member of the editorial board of theInternational Journal of Swarm Intelligence and Evolutionary Computation (OMICS) and the program committee of international conferences as IEEE CEC, ECAL, and NICSO. He has served as reviewer in international journals, such as Information Sciences,NeuroComputing, and Memetic Computing, and in international conferences, such as GECCO. His main research interests are Intelligent Systems, Soft Computing, Cooperative Hybrid Metaheuristics, Dynamic Optimization Problems, Fuzzy Systems, and Scenario Planning, among others.
Carlos Cruz Corona received the MS degree in Electronic Engineering in 1986 from the Central University of Las Villas, Cuba, and the PhD degree in Computer Sciences from the University of Granada, Granada, Spain, in 2005. He is a Lecturer at Department of Computer Science and Artificial Intelligence (DECSAI), University of Granada, Spain. He has published several scientific and technical papers in leading scientific journals. He has served on many international program committees and has attended numerous national and international conferences, congresses, and workshops. He has participated in a variety of national and international research and educational projects. His current scientific interests are Soft Computing, fuzzy sets and systems, decision support systems, metaheuristic algorithms, and nature-inspired systems.