Cantitate/Preț
Produs
Total produse
Vezi coșul
Intelligent Energy Systems using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm: Foundations, Methods, and Applications de Mohd Herwan Sulaiman

Intelligent Energy Systems using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm: Foundations, Methods, and Applications: Advances in Intelligent Energy Systems

Autor Mohd Herwan Sulaiman, Zuriani Mustaffa
en Limba Engleză Paperback – 7 noi 2025
Intelligent Energy Systems using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm: Foundations, Methods, and Applications reveals the potential of innovative optimization algorithms to support sustainability in modern energy systems. This book provides a multidisciplinary foundation for the reader, with Part I breaking down fundamentals including the challenges to be addressed in renewable energy systems and detailed methodologies including swarm-, physics-, and human-based algorithms, before introducing the Barnacles Mating Optimizer and Evolutionary Mating Algorithm themselves. Part II drills deeper into examples, case studies, and applications for energy systems, offering comparative analysis with alternative tools, and providing complimentary MATLAB code using the latest Toolbox. A sandbox for readers to learn, skill-build, and develop in, ‘Intelligent Energy Systems using BMO and EMA’ provides an indispensable guide to these cutting-edge AI tools for new and experienced readers.

  • Builds step-by-step from foundational principles to complex applications in sustainable energy systems
  • Includes case studies, tools, and complimentary MATLAB code to try out, rework, and apply to new problems
  • Guides readers through these innovative methods, as part of the ground-breaking Advances in Intelligent Energy Systems
Citește tot Restrânge

Din seria Advances in Intelligent Energy Systems

Preț: 94825 lei

Preț vechi: 140100 lei
-32% Nou

Puncte Express: 1422
Preț estimativ în valută:
16777€ • 19575$ • 14668£

Carte tipărită la comandă

Livrare economică 09-23 ianuarie 26

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780443337758
ISBN-10: 0443337756
Pagini: 348
Dimensiuni: 152 x 229 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
Seria Advances in Intelligent Energy Systems

Cuprins

Part I: Modern Energy System Challenges: Fundamental Methodologies, Opportunities, and Solutions
1. Challenges of renewable energy systems and the artificial intelligence opportunity
2. Fundamentals of swarm-based algorithms
3. Fundamentals of evolution-based algorithms
4. Fundamentals of physics- and human-based algorithms
5. Fundamentals of the Barnacles Mating Optimizer
6. The Evolutionary Mating Algorithm: principles and applications
7. Deep learning approaches
7.i. Supervised learning with feedforward neural networks (FFNN)
7.ii. Other deep learning families

Part II: Applications for Renewable Energy Systems
8. State of charge (SOC) estimation in electric vehicles using deep learning feedforward neural networks
9. Hybrid of metaheuristic learning with deep learning in battery management of electric vehicles
10. Optimal reactive power dispatch using the Barnacle Mating Optimizer
11. Optimal power flow solutions enhanced by the Evolutionary Mating Algorithm
12. Renewable energy power forecasting, enhanced by hybrid Barnacle Mating Optimizer-Evolutionary Mating Algorithm deep learning
12.i. Solar power
12.ii. Wind power