Artificial Intelligence of Things for Smart Green Energy Management

Dr. Sarah El Himer is a Ph.D and Researcher Associate in Intelligent Systems, Georesources & Renewable Energies Laboratory. She is Ph.D, graduated in 2019 in renewable energies at the renewable energies and intelligent systems laboratory from the faculty of sciences and technology, university of Sidi Mohammed Ben Abdallah FEZ. She is a trainer and IT Consultant at IT Support and Consulting Center. She was working for faculty of science and technology FEZ as a Visiting Professor from 2015 to 2019. Dr. El Himer has made contributions in the fields of optical component of Concentrated photovoltaic and electrical vehicle. Her main research topics are Optical element for CPV, acceptance angle, optical efficiency micro CPV, Hybrid CPV. She has published over 15 papers (international journals, and conferences/workshops). She has served and continues to serve on executive and technical program committees and as a reviewer of numerous international conference and journals such as CPV conference, REEE2017".

Dr. Mariyam Ouaissa is currently a Professor at Institute specializing in new information and communication technologies, Researcher Associate and Consultant Trainer in Computer Science and Networks. She received her Ph.D. degree in 2019 from National Graduate School of Arts and Crafts, Meknes, Morocco and her Engineering Degree in 2013 from the National School of Applied Sciences, Khouribga, Morocco. She is a communication and networking researcher and practitioner with industry and academic experience. Dr Ouaissa's research is multidisciplinary that focuses on Internet of Things, M2M, WSN, vehicular communications and cellular networks, security networks, congestion overload problem and the resource allocation management and access control. She is serving as a reviewer for international journals and conferences including as IEEE Access, Wireless Communications and Mobile Computing. Since 2020, she is a member of "International Association of Engineers IAENG" and "International Association of Online Engineering", and since 2021, she is an "ACM Professional Member". She has published more than 20 research papers (this includes book chapters, peer-reviewed journal articles, and peer-reviewed conference manuscripts), 8 edited books, and 5 special issue as guest editor. She has served on Program Committees and Organizing Committees of several conferences and events and has organized many Symposiums/Workshops/Conferences as a General Chair.

Dr. Abdulrahman A. A. Emhemed is a lecturer at Bright Star University, El-Brega, Libya. He  obtained B.Sc. Degree in Control Engineering from College of Electronic Technology, Bani Walid, Libya, in 2006.  M.Sc degree of Mechatronic and Robotic Engineering from University Tun Hussein Onn Malaysia (UTHM), 2011. PhD degree in Electrical Engineering from University of Technology Malaysia (UTM), 2017.  He has many papers published at international conferences and journals. Dr.Emhemed is registered as Professional Engineer by the International Association of ENGineers (IAENG) and member for many international institutes and engineering associations such as Institute of Electrical and Electronics Engineering (IEEE), SCIence and Engineering Institute (SCIEI), and Hong Kong Society of Mechanical Engineers (HKSME). His main area of research includes Model Predictive Control, Fuzzy Logic Control for Mechatronics systems, and Robust PID Control Techniques and Optimization.

 

Dr. Mariya Ouaissa is currently a Professor at Institute Specializing in New Information and Communication Technologies, Researcher Associate and practitioner with industry and academic experience. 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 Ap

This book is intended to assist in the development of smart and efficient green energy solutions. It introduces energy systems, power generation, and power demands which able to minimise generation costs, power loss or environmental effects. 

It proposes cutting-edge solutions and approaches based on recent technologies such as intelligent renewable energy systems (wind and solar). These solutions, applied to different sectors, can provide a solid basis for meeting the needs of both developed and developing countries. 

The book provides a collection of contributions including new techniques, methods, algorithms, practical solutions and models based on applying artificial intelligence and the Internet of things into green energy management systems. It provides a comprehensive reference for researchers, scholars and industry in the field of green energy and computational intelligence.

Presents state of the art of several Energy Management Systems (EMS)

Artificial Intelligence of Things (AIoT) for Renewable Energies Systems.- Design of a Switching Module for Electricity Supply from Solar to Grid by Sensing Light Intensity.- Nonlinear Backstepping Control of a Grid-Connected Doubly Fed Induction Generator Wind Turbine.- Improving LVRT Capability of a Wind Turbine During a Voltage Sag in the Electrical Network.- Optimization of Two Hybrid Micro-Concentrator Photovoltaic Systems for Car-Roof Application.- Machine Learning-based Maximum Power Point Tracking Technique for Concentrated PV/TEG System under Non-Uniform Environmental Conditions.- Two-Dimensional Nanomaterials for Solar Cell Technology.- Improving Control for an Induction Machine using Artificial Intelligence.- Evaluation of the Recommended Algorithms in the Internet of Things.- Exposing Applications of IoT in Green Computing.