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Intelligent knowledge based systems in electrical power engineering
Intelligent Knowledge Based Systems in Electrical Power Engineering details how intelligent applications can be used in the power industry. The book gives a general and historical overview of intelligent knowledge based systems (IKBS) and artificial intelligence (AI) and a broad analysis of the application of these techniques in the electrical power industry. It includes chapters on forecasting and planning in power systems, design of electrical plant and systems, IKBS in condition monitoring, alarm processing, event and fault diagnosis and an analysis of future trends in IKBS for power engineering. No previous knowledge of IKBS is assumed, but an appreciation of electrical transmission and distribution systems would be useful.
R 4,644.60

Intelligent knowledge based systems in electrical power engineering
Intelligent Knowledge Based Systems in Electrical Power Engineering details how intelligent applications can be used in the power industry. The book gives a general and historical overview of intelligent knowledge based systems (IKBS) and artificial intelligence (AI) and a broad analysis of the application of these techniques in the electrical power industry. It includes chapters on forecasting and planning in power systems, design of electrical plant and systems, IKBS in condition monitoring, alarm processing, event and fault diagnosis and an analysis of future trends in IKBS for power engineering. No previous knowledge of IKBS is assumed, but an appreciation of electrical transmission and distribution systems would be useful.
R 4,643.70
Practical AI Control Methods
This comprehensive guide bridges classical control theory and modern AI-driven control systems, demonstrating how neural networks, fuzzy logic, and reinforcement learning enable adaptive controllers that learn from data and handle complex nonlinearities. Moving beyond theoretical foundations, the book emphasizes practical implementation through detailed Python and Simulink examples, covering neural network architectures, deep reinforcement learning, transformer-based control, and hybrid fuzzy-AI systems.Designed for graduate students, advanced undergraduates, and practicing engineers in control systems and AI, the text assumes familiarity with classical control, Python programming, and machine learning fundamentals. Readers gain hands-on experience building intelligent controllers through project-driven tutorials that address real-world deployment challenges, validation strategies, and the practical realities of learning-based control, including the absence of classical stability guarantees and the need for empirical validation.With coverage spanning system identification, vision-based perception, model predictive control, and deployment on embedded platforms, this book serves as both a practical manual and technical reference for designing, implementing, and deploying AI-enabled control architectures.Emphasizes hands-on controller construction, data preparation, training workflows, and simulation setup rather than pure theory.Presents AI-control algorithms as implementation tutorials using Python and Simulink examples.Includes complete project walkthroughs for neural network controllers, reinforcement learning navigation, and hybrid fuzzy-AI systems.
R 6,118.00

Research and Developments in Electrical Power Engineering
This book offers a timely report on challenges and solutions relating to electrical power engineering. It discusses current issues in generation, transmission, distribution and consumption of electricity, and presents improved methods for diagnostics, faults analysis and system control in power engineering. Further, it covers smart grids, applications of AI, and big data in power systems. A special emphasis is given to sustainable electricity production. Economic and business strategies are also discussed. Gathering the proceedings of the 12th International Scientific Symposium on Electrical Power Engineering, Elektroenergetika 2024, held on September 11-13, 2024, in Stará Lesná, Slovakia, this book offers extensive information and a source of inspiration for both scientists and professionals involved in developing safe, reliable and sustainable solutions for energy supplies of the future.
R 10,629.24

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R 2,976.86

Advanced Engineering, Technology and Applications on Power Systems
This book presents the proceedings of the 4th International Conference on Advanced Engineering, Technology, and Applications in Power Systems (ICAETA25), held at Shenyang University of Technology, Liaoning, China, from July 31 to August 1, 2025. It features cutting-edge research and practical innovations addressing real-world challenges in power systems, with a strong emphasis on the latest developments in artificial intelligence, machine learning, big data, cloud computing, the Internet of Things, and sensor technologies. Readers will find state-of-the-art models, benchmark datasets, and insightful analyses that bridge theoretical advancements with applied engineering solutions, offering a comprehensive view of how intelligent technologies are transforming the power sector and related domains.
R 10,990.00



Iaeng Transactions On Electrical Engineering Volume 1 - Special Issue Of The International Multiconference Of Engineers And Computer Scientists 2012
This volume contains revised and extended research articles written by prominent researchers. Topics covered include electrical engineering, circuits, artificial intelligence, data mining, imaging engineering, bioinformatics, internet computing, software engineering, and industrial applications. The book offers tremendous state-of-the-art advances in electrical engineering and also serves as an excellent reference work for researchers and graduate students working with/on electrical engineering.
R 4,199.97





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R 2,979.82


R 519.00

Künstliche Intelligenz, Lösungsansätze und deren Möglichkeiten
Künstliche Intelligenz (KI), Künstliche Neuronale Netzwerke (KNN) sind heute in aller Munde und hängen auch unmittelbar miteinander zusammen. Besonders KI und KNN werden oftmals in einem Atemzug genannt. Alles wird in den Medien heute als künstliche Intelligenz verkauft. Das geht von Raumfahrttechnik, autonomen Fahren, Spracherkennung, Übersetzungen bis hinunter zum Kaffeeautomaten. Künstliche Intelligenz weckt heute unnötig Ängste, In den letzten Monaten häufen sich Warnungen vor den potenziellen Gefahren von KI. Es wird der KI nachgesagt, dass sie so gefährlich wie ein Atomkrieg. Außerdem KI nimmt Arbeitsplätze weg. All diese Statements werden aufgegriffen, dargestellt und erläutert. Es wird versucht die Gegebenheiten sachlich darzustellen und die Ängste abzubauen. Den kostenlosen Zugang zum Online-Kurs finden Sie direkt im Buch.
R 1,285.22


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R 1,957.74

Electrical Engineering: Principles & Applications, Global Edition
For courses in Electrical Engineering. Accessible and applicable learning in electrical engineering for introductory and non-major courses The #1 title in its market, Electrical Engineering: Principles and Applications helps students learn electrical-engineering fundamentals with minimal frustration. Its goals are to present basic concepts in a general setting, to show students how the principles of electrical engineering apply to specific problems in their own fields, and to enhance the overall learning process. This book covers circuit analysis, digital systems, electronics, and electromechanics at a level appropriate for either electrical-engineering students in an introductory course or non-majors in a survey course. A wide variety of pedagogical features stimulate student interest and engender awareness of the material’s relevance to their chosen profession. The only essential prerequisites are basic physics and single-variable calculus. The 7th Edition features technology and content updates throughout the text. Also available with Mastering Engineering MasteringTM Engineering is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Interactive, self-paced tutorials provide individualized coaching to help students stay on track. With a wide range of activities available, students can actively learn, understand, and retain even the most difficult concepts. The text and Mastering Engineering work together to guide students through engineering concepts with a multi-step approach to problems. Note: You are purchasing a standalone product; MyLabTM & MasteringTM does not come packaged with this content. Students, if interested in purchasing this title with MyLab & Mastering, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.
R 4,215.00

Modern Battery Engineering: A Comprehensive Introduction
'This is a book primarily for engineers and materials scientists either researching or developing Li-ion energy storage batteries who want to understand some of the critical aspects of Li-ion battery technology and gain knowledge about the latest engineering designs and latest materials being used in Li-ion batteries. Good technical depth, many tables of data, and many illustrations combined with references at the end of each chapter for further in-depth study make this book worth reading to gain a quick understanding of the current state-of-the art in Li-ion battery technology and the fundamental issues and challenges facing Li-ion battery designers.'IEEE Electrical Insulation MagazineThis richly illustrated book written by Professor Kai Peter Birke and several co-authors addresses both scientific and engineering aspects of modern batteries in a unique way. Emphasizing the engineering part of batteries, the book acts as a compass towards next generation batteries for automotive and stationary applications. The book provides distinguished answers to still open questions on how future batteries look like.Modern Battery Engineering explains why and how batteries have to be designed for successful commercialization in e-mobility and stationary applications. The book will help readers understand the principle issues of battery designs, paving the way for engineers to avoid wrong paths and settle on appropriate cell technologies for next generation batteries. This book is ideal for training courses for readers interested in the field of modern batteries.
R 5,842.53

Metaheuristic Optimization in Power Engineering
A metaheuristic is a consistent set of ideas, concepts, and operators to design a heuristic optimization algorithm, that can provide a sufficiently good solution to an optimization problem with incomplete or imperfect information. Modern and emerging power systems, with the growing complexity of distributed and intermittent generation, are an important application for such methods. This book describes the principles of solving various problems in power engineering via the application of selected metaheuristic optimization methods including genetic algorithms, particle swarm optimization, and the gravitational search algorithm. Applications covered include power flow calculation; optimal power flow in transmission networks; optimal reactive power dispatch in transmission networks; combined economic and emission dispatch; optimal power flow in distribution networks; optimal volt/var control in distribution networks; optimal placement and sizing of distributed generation in distribution networks; optimal energy and operation management of microgrids; optimal coordination of directional overcurrent relays; and steady-state analysis of self-excited induction generators.
R 5,129.00



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