Design, Analysis and Applications of Renewable Energy Systems
- 1st Edition - September 9, 2021
- Latest edition
- Editors: Ahmad Taher Azar, Nashwa Ahmad Kamal
- Language: English
Design, Analysis and Applications of Renewable Energy Systems covers recent advancements in the study of renewable energy control systems by bringing together diverse scientifi… Read more
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Design, Analysis and Applications of Renewable Energy Systems covers recent advancements in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems as conveyed by leading energy systems engineering researchers. The book focuses on present novel solutions for many problems in the field, covering modeling, control theorems and the optimization techniques that will help solve many scientific issues for researchers. Multidisciplinary applications are also discussed, along with their fundamentals, modeling, analysis, design, realization and experimental results.
This book fills the gaps between different interdisciplinary applications, ranging from mathematical concepts, modeling, and analysis, up to the realization and experimental work.
- Presents some of the latest innovative approaches to renewable energy systems from the point-of-view of dynamic modeling, system analysis, optimization, control and circuit design
- Focuses on advances related to optimization techniques for renewable energy and forecasting using machine learning methods
- Includes new circuits and systems, helping researchers solve many nonlinear problems
Academia, Postgraduate students, Professional Engineers in Control Engineering; Electrical and Electronics Engineering; Power Engineering; Mathematics and Applied Mathematics; Physics; Computer Engineering. Academia; Postgraduate students; Professional Engineers in Mathematicians; Engineering Mathematics; Biomedical Engineering; Computer science; Computational Physics
1: Impact on steam generator/boiler operation and control due to renewable energy integration to electrical grid
2: Hybrid renewable energy systems for energy supply to autonomous desalination systems on Isolated Islands
3: Storage systems in PV plants with delivery limitation
4: Soft computing in renewable energy system modelling
5: Strategy to support renewable energy sources in Europe
6: The dynamics of renewable energy innovation system in Tunisia
7: Designing and Performance Analysis of Solar Tracker System: A Case Study of Çukurova Region
8: Renewable energy, R&D and economic complexity: new evidence for Latin America using quantile regressions
9: Techno-economic comparative assessment of an off-grid hybrid renewable energy system for electrification of remote area
10: Dynamic self-recurrent wavelet neural network for Solar Radiation Forecasting
11: Developing energy management system considering renewable energy systems in residential complex
12: Techno-Economic Performance Evaluation among different Solar Photovoltaic System Configurations
13: Assessment and Decision Making of Biomass Energy Conversion System by Big Data and Game Theory Technique
14: Assessment of V-I Droop Mechanism to create Power Reserve for Stand-Alone Microgrid
15: The Importance of Renewable Energy Expansion in Power Generation Sector in Iran: a Computable General Equilibrium Approach
16: Operating Mode Management of Hybrid Renewable Energy Systems using Event-Driven Hybrid Bond Graphs
17: A Review on Energy Management Methods for Residential Renewable Energy Systems
18: Reliability Effects of the Dynamic Thermal Rating System on Wind Energy Integrations
19: Frequency Support by Grid Connected DFIG Based Wind Farms
20: A holistic approach of the energy system to frame renewable and energy efficiency models
21: Next Generation of Grid-Connected Photovoltaic Systems
22: Quantum computing in renewable energy exploration: Status, opportunities and challenges
23: Electric Vehicles charging strategy based on multi-market platforms for photovoltaic powered workplace charging station
24: Choice among Alternatives - An Evaluation of Indian Energy Basket
25: Renewable Energy in Bangladesh: Status and Potential
26: Hybrid Operational Deployment of Renewable Energy - A Distribution Generation Approach
27: The role of Distributed Energy systems in enabling electric vehicle wireless charging
28: IoT Driven Data Extraction Applications using Common Information Model in a Hybrid Microgrid System
29: Metering Architecture of Smart Grid
30: Solar Energy Sustainability in Bangladesh: Tackling the Management Challenges
- Edition: 1
- Latest edition
- Published: September 9, 2021
- Language: English
AT
Ahmad Taher Azar
Prof. Ahmad Azar is a full Professor at Prince Sultan University, Riyadh, Kingdom Saudi Arabia. He is the leader of Automated Systems and Computing Lab (ASCL), Prince Sultan University, Saudi Arabia.
Prof. Azar is the Editor in Chief of the International Journal of Intelligent Engineering Informatics (IJIEI), Inderscience Publishers, Olney, UK. He is also the Editor in Chief of International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) and International Journal of Sociotechnology and Knowledge Development (IJSKD) published by IGI Global, USA. From 2013 to 2017, Prof. Azar was an associate editor of ISA Transactions, Elsevier.
He is currently an editor for IEEE Transactions on Fuzzy Systems, IEEE Systems Journal, IEEE Transactions on Neural Networks and Learning Systems, Springer's Human-centric Computing and Information Sciences.
Prof. Azar specializes in artificial intelligence (AI), robotics, machine learning, control theory and applications, computational intelligence, reinforcement learning, and dynamic system modeling. He has published or co-published over 550 research papers, book chapters, and conference proceedings in prestigious peer-reviewed journals.
Dr. Ahmad Azar has received several awards, including the Benha University Prize for Scientific Excellence (2015, 2016, 2017, and 2018) and the Benha University Highest Citation Award (2015, 2016, 2017, and 2018).
In June 2018, he was awarded the Egyptian State Encouragement Award in Engineering Sciences by the Ministry of Higher Education and Scientific Research. In August 2018, he was elected as a senior member of the International Rough Set Society (IRSS).
Prof. Azar was named one of the top computer scientists in Saudi Arabia by Research.com since December 2019.
He was awarded the Egyptian President's Distinguished Egyptian Order of the First Class in February 2020.
In October 2020, Prof. Azar received Abdul Hameed Shoman Arab Researchers Award in Machine Learning and Big Data Analytics.
From October 2020 to September 2023, Prof. Azar was recognized as a Distinguished researcher at Prince Sultan University, Riyadh, Saudi Arabia.
In November 2020, October 2021, October 2022, October 2023, September 2024, and September 2025 Prof. Azar was named one of the top 2% of scientists in the world in Artificial Intelligence by Stanford University, based on single-year impact and career-long impact. These rankings were published by Stanford University in the PLOS journal and were based on the SCOPUS database.
Prof. Ahmad Azar has been recognized as one of the top ten researchers at Prince Sultan University, based on his Scopus H-index. He has also received a university award for being among his top publication of research.
Prof. Azar has received Prince Sultan University’s Research Excellence Award. He is also the recipient of the university’s Highest Impact Researcher Award, based on his H-index. Additionally, he has earned a PSU research award for having publications ranked among the top five by impact factor.
Prof. Ahmad Azar is the Vice Chair of the International Federation of Automatic Control (IFAC) Technical Committee of Control Design, Vice chair of IFAC Technical committee 4.3 Robotics, Vice chair of IFAC Technical committee 9.3 “Control for Smart Cities”. He is a technical Committee Member of Data Mining and Big Data Analytics of IEEE Computational Intelligence Society (CIS), IFAC Technical committee Member TC 2.2. Linear Control Systems, IFAC Technical committee Member TC 1.2. Adaptive and Learning Systems.
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