Soft Computing in Renewable Energy Technologies
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Aggiungere al carrelloVenduto da PBShop.store US, Wood Dale, IL, U.S.A.
Venditore AbeBooks dal 7 aprile 2005
Condizione: Nuovo
Quantità: Più di 20 disponibili
Aggiungere al carrelloNew Book. Shipped from UK. Established seller since 2000.
Codice articolo L2-9781032611921
This book addresses and disseminates state-of-the-art research and development in the applications of soft computing techniques for renewable energy systems. It covers topics such as solar energy, wind energy, and solar concentrator technologies, as well as building systems and power generation systems. In all these areas, applications of soft computing methods such as artificial neural networks, genetic algorithms, particle swarm optimization, cuckoo search, fuzzy logic, and a combination of these, called hybrid systems, are included. This book is a source for students interested in the fields of renewable energy and the application of the soft computing. In addition, our book can be considered as a reference for researchers and academics since it will include applications of soft computing in different renewable energy systems.
Najib El Ouanjli is currently a Professor at Department of Applied physics at the “Faculty of Sciences and Techniques, Hassan First University, Settat, Morocco”. He received his PhD degree in 2021 from “Sidi Mohammed Ben Abdellah University, Higher School of Technology, Fez, Morocco” and his Master Degree in 2015 from the “Faculty of Sciences Dhar El Mahraz, Fez, Morocco”. He was a professor of physics Science Ministry of Education from 2013 to 2021. His research interests are focused on renewable energy systems, Electrical & Electronics Engineering, Rotating Electric Machines, System Modeling, Control Techniques, Optimization Techniques, Fault Diagnosis, Power Systems Modelling, Reliability Engineering, Grid Integration, Photovoltaics systems, Smart Grid, Wind Turbines and Solar Energy. He has published several papers (international journals, book chapters, and conferences/workshops). He is serving as a reviewer for international journals and conferences including as IEEE Transactions on Industrial Electronics, SN Applied Sciences, Energies and Complex & Intelligent Systems…. He is also a guest editor for special issues in `'Energies MDPI'' and `' sustainability MDPI'' journals.
Mahmoud A. Mossa graduated and received his Bachelor and Master's degrees in Electrical Engineering from Faculty of Engineering, Minia University - Egypt in 2008 and 2013, respectively. Since January 2010, he was working as Assistant Lecturer at the Electrical Engineering Department at the same university. In November 2014, he joined the electric drives laboratory (EDLAB) at University of Padova in Italy for his PhD research activities. In April 2018, he has been awarded the PhD degree in Electrical Engineering from University of Padova. Since May 2018, he is working as Assistant professor at Electrical Engineering department at Minia University in Egypt. He was a postdoctoral fellow at department of industrial engineering at University of Padova in Italy for a six-month started at October 2021. His research interests are focused on renewable energy systems, electric machine drives, power electronics, power management and load frequency control. He published more than 60 papers (international journals, book chapters, and conferences/workshops). He is an associate editor in ''International Journal of Robotics and Control Systems'', ''Journal of Robotics and Mechanical Engineering'' and ''International Journal of Agriculture, Engineering Technology and Social Sciences''. He is a guest editor for launched special issues in `'Energies MDPI'' and `' Machines MDPI'' journals. He served as a recognized reviewer for about 24 international journals and conferences.
Dr. Mariya Ouaissa is currently a Professor in Cybersecurity and Networks at Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco. She is a Ph.D. graduated in 2019 in Computer Science and Networks, at the Laboratory of Modelisation of Mathematics and Computer Science from ENSAM-Moulay Ismail University, Meknes, Morocco. She is a Networks and Telecoms Engineer, graduated in 2013 from National School of Applied Sciences Khouribga, Morocco. She is a Co-Founder and IT Consultant at IT Support and Consulting Center. She was working for School of Technology of Meknes Morocco as a Visiting Professor from 2013 to 2021. She is member of the International Association of Engineers and International Association of Online Engineering, and since 2021, she is an "ACM Professional Member". She is Expert Reviewer with Academic Exchange Information Centre (AEIC) and Brand Ambassador with Bentham Science. She has served and continues to serve on technical program and organizer committees of several conferences and events and has organized many Symposiums/Workshops/Conferences as a General Chair also as a reviewer of numerous international journals. Dr. Ouaissa has made contributions in the fields of information security and privacy, Internet of Things security, and wireless and constrained networks security. Her main research topics are IoT, M2M, D2D, WSN, Cellular Networks, and Vehicular Networks. She has published over 50 papers (book chapters, international journals, and conferences/workshops), 13 edited books, and 8 special issue as guest editor.
Sanjeevikumar Padmanaban (Member’12–Senior Member’15, IEEE) received a PhD degree in electrical engineering from the University of Bologna, Bologna, Italy 2012. He is a Full Professor in Electrical Power Engineering with the Department of Electrical Engineering, Information Technology, and Cybernetics, University of South-Eastern Norway, Norway. S. Padmanaban has authored over 750+ scientific papers and received the Best Paper cum Most Excellence Research Paper Award from IET-SEISCON’13, IET-CEAT’16, IEEE-EECSI’19, IEEE-CENCON’19, and five best paper awards from ETAEERE’16 sponsored Lecture Notes in Electrical Engineering, Springer book. He is a Fellow of the Institution of Engineers, India, the Institution of Electronics and Telecommunication Engineers, India, and the Institution of Engineering and Technology, U.K. He received a lifetime achievement award from Marquis Who’s Who - USA 2017 for contributing to power electronics and renewable energy research. He is listed among the world’s top 2 scientists (from 2019) by Stanford University USA.
He is an Editor/Associate Editor/Editorial Board for refereed journals, in particular the IEEE SYSTEMS JOURNAL, IEEE Transaction on Industry Applications, IEEE ACCESS, IET Power Electronics, IET Electronics Letters, and Wiley-International Transactions on Electrical Energy Systems, Subject Editorial Board Member―Energy Sources―Energies Journal, MDPI, and the Subject Editor for the IET Renewable Power Generation, IET Generation, Transmission and Distribution, and FACETS Journal (Canada).
Said Mahfoud is currently a Professor at the “Higher School of Technology, Sultan Moulay Slimane University, Khenifra, Morocco”. He graduated from ENSET of Mohammedia, Morocco, with a license in electrical engineering in 2012, and from ENSET of Rabat with a master's degree in 2015. He received his Ph.D. in Electrical Engineering from SIDI MOHAMED BEN ABDELLAH University in 2022. From September 2013 to July 2023, he worked as an electrical engineering teacher at the Ministry of Education. His areas of interest are : Electrical Engineering, Power Electronics, Electronic Engineering, Wind Energy, Power Systems, Control Systems Engineering, design Renewable Energy, Power Electronics & Drives Electrical, Power Engineering, Power Systems Modelling, Reliability Engineering, Grid Integration, Photovoltaics systems, Smart Grid, Wind Turbines, Machines Control Techniques Drives, Electric Vehicles, Machines Fault Diagnosis, Artificial Neural Network, Optimization Algorithm, Intelligent control machines, He is serving as a reviewer for international journals and conferences, including IEEE Transactions on Industrial Electronics, Access, and others, Elsevier journals on ISA transactions, among others; and many journals in the MDPI.
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