Intelligent Management of Energy Systems
- 1st Edition - February 1, 2027
- Latest edition
- Authors: Md Shafiullah, Md Shafiul Alam, Asif Islam, Minhajul Islam Ukil
- Language: English
Intelligent Management of Energy Systems provides a holistic overview of the opportunities available for utilizing artificial intelligence to optimize modern energy systems, includ… Read more
Description
Description
Intelligent Management of Energy Systems provides a holistic overview of the opportunities available for utilizing artificial intelligence to optimize modern energy systems, including system dynamics, components, and business perspectives. The book begins with an overview of energy system dynamics followed by detailed step-by-step breakdowns of critical artificial intelligence and machine learning techniques, and methods for assessing greenhouse-gas emissions. Further chapters spotlight microgrids, high-voltage testing for essential components such as circuit breakers and transformers, and perspectives from business and social disciplines.
Designed for students, engineers, and researchers, this book combines clear, foundational methodologies, technical implementation, and business perspectives, making it a robust toolkit for AI utilization in energy system optimization.
Designed for students, engineers, and researchers, this book combines clear, foundational methodologies, technical implementation, and business perspectives, making it a robust toolkit for AI utilization in energy system optimization.
Key features
Key features
- Includes theory and practice from essential techniques to business considerations
- Provides access to original code and MATLAB files for practical learning and replication
- Supports students and professionals in developing resilient, sustainable energy systems
Readership
Readership
Graduate and upper-level undergraduate students, researchers, and engineers working in smart solutions for modern energy systems
Table of contents
Table of contents
1. Energy System Dynamics
2. Artificial Intelligence and Machine Learning Techniques
3. Energy and GHG Trends Analysis with Ensemble Models
4. Intelligent Energy Management in Microgrids
5. AI-Assisted Community Microgrid Energy Management
6. Artificial Intelligence in High Voltage Testing: Circuit Breakers
7. Artificial Intelligence in High Voltage Testing: Transformers
8. A Business Model for AI-based Smart Energy Systems
9. Public Perceptions and Ethical Considerations concerning AI-based Smart Energy Systems
2. Artificial Intelligence and Machine Learning Techniques
3. Energy and GHG Trends Analysis with Ensemble Models
4. Intelligent Energy Management in Microgrids
5. AI-Assisted Community Microgrid Energy Management
6. Artificial Intelligence in High Voltage Testing: Circuit Breakers
7. Artificial Intelligence in High Voltage Testing: Transformers
8. A Business Model for AI-based Smart Energy Systems
9. Public Perceptions and Ethical Considerations concerning AI-based Smart Energy Systems
Product details
Product details
- Edition: 1
- Latest edition
- Published: February 1, 2027
- Language: English
About the authors
About the authors
MS
Md Shafiullah
Dr. Md Shafiullah is currently working as a faculty member in the Interdisciplinary Research Center for Renewable Energy and Power Systems (IRC-REPS) at King Fahd University of Petroleum & Minerals (KFUPM). He received a Ph.D. in Electrical Engineering (Electrical Power & Energy Systems) from KFUPM in 2018. Prior to that, he received the B.Sc. and M.Sc. degrees in Electrical & Electronic Engineering (EEE) from Bangladesh University of Engineering & Technology (BUET) in 2009 and 2013, respectively. He demonstrated his research contributions in 70+ scientific articles (peer-reviewed journals, international conference proceedings, and book chapters). His research interest includes power system fault diagnosis, grid integration of renewable energy resources, power system stability and quality analysis, and machine learning techniques. He received the best research paper awards in two different IEEE flagship conferences (ICEEICT 2014 in Bangladesh and CAIDA 2021 in Saudi Arabia).
Affiliations and expertise
King Fahd University of Petroleum and Minerals, Saudi ArabiaMA
Md Shafiul Alam
Md. Shafiul Alam is a Research Engineer with the Applied Research Centre for Environment and Marine Studies of KFUPM, Saudi Arabia. His research interests include energy and environment, management of greenhouse gas emissions, data analysis, integration of renewable energy sources into the utility grid, AC/DC microgrids, high-voltage DC transmission, and machine learning.
Affiliations and expertise
Research Engineer, Applied Research Centre for Environment and Marine Studies, King Fahd University and Petroleum and Minerals, Saudi ArabiaAI
Asif Islam
Asif Islam is a Research Engineer and Assistant Professor at the Interdisciplinary Research Center for Sustainable Energy Systems of King Fahd University of Petroleum and Minerals, Saudi Arabia. Previously he worked as a T&E Ops. Quality Manager at Boeing-Australia (2021-2023), as a Test Engineer of Power System Protection and HV Test Laboratory at NOJA Power (2018-2021), as an R&D Engineer at NOJA Power (2013-2017), as an Assistant Engineer at Power Grid Company of Bangladesh (PGCB) Ltd. (2012-2013) and as a Testing Engineer at Energypac Engineering Ltd. (2009- 2012). His research interests include power system protection, high voltage engineering, transformer and switchgear, and quality management systems.
Affiliations and expertise
Research Engineer, Assistant Professor, Interdisciplinary Research Center for Sustainable Energy Systems, King Fahd University of Petroleum and Minerals, Saudi ArabiaMU
Minhajul Islam Ukil
Minhajul Islam Ukil is an Assistant Professor at the Department of Management and Marketing, King Fahd University of Petroleum and Minerals, Saudi Arabia. Previously, Dr. Ukil held academic positions at BRAC University (Bangladesh) and the University of Adelaide (Australia). His research interests include social entrepreneurship and entrepreneurial dynamics, focusing on energy business and economics.
Affiliations and expertise
Assistant Professor, Department of Management and Marketing, King Fahd University of Petroleum and Minerals, Saudi Arabia