Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications, Prusty, B Rajanarayan ; Gupta, Neeraj ; Bingi, Kis
Автор: Brunton, Steven L. (university Of Washington) Kutz Название: Data-driven science and engineering ISBN: 1009098489 ISBN-13(EAN): 9781009098489 Издательство: Cambridge Academ Рейтинг: Цена: 7918.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and data science methods for engineering and science communities. Now with Python and MATLAB (R), new chapters on reinforcement learning and physics-informed machine learning, and supplementary videos and code.
Автор: Resener Mariana, Rebennack Steffen, Pardalos Panos Название: Handbook of Optimization in Electric Power Distribution Systems ISBN: 3030361144 ISBN-13(EAN): 9783030361143 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This handbook gathers state-of-the-art research on optimization problems in power distribution systems, covering classical problems as well as the challenges introduced by distributed power generation and smart grid resources.
This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems.
Today, analysis and processing of data is one of big focuses among researchers community and information society. Due to evolution and knowledge discovery of natural computing, related meta heuristic or bio-inspired algorithms have gained increasing popularity in the recent decade because of their significant potential to tackle computationally intractable optimization dilemma in medical, engineering, military, space and industry fields. The main reason behind the success rate of nature inspired algorithms is their capability to solve problems. The nature inspired optimization techniques provide adaptive computational tools for the complex optimization problems and diversified engineering applications.
Tentative Table of Contents/Topic Coverage:?
- Neural Computation
- Evolutionary Computing Methods
- Neuroscience driven AI Inspired Algorithms
- Biological System based algorithms
- Hybrid and Intelligent Computing Algorithms
- Application of Natural Computing
- Review and State of art analysis of Optimization algorithms
- Molecular and Quantum computing applications
- Swarm Intelligence
- Population based algorithm and other optimizations
Описание: Deterministic load demand modeling of electric vehicles.- Probabilistic load demand modeling of electric vehicles.- Possibilistic load demand modeling of electric vehicles.- Hybrid probalistic-possibilistic load demand modeling of electric vehicles.- Integration of electric vehicles and solar energy in power systems.- Integration of electric vehicles and wind energy in power systems.- Integration of electric vehicles, energy storage and renewable energies in power systems.- Participation of aggregated electric vehicles in demand response programs.- Impact of electric vehicles on voltage control of distribution systems.- Participation of aggregated electric vehicles in demand response programs.- Impact of electric vehicles on voltage control of distribution systems.- Participation of aggregated electric vehicles in frequency control of power systems.- Modeling and impact analysis of battery degradation on V2G programs.-Evaluation of electric vehicles impact on emission pollution reduction.- Evaluation of fuel cell vehicles impact on emission pollution reduction.- Life cycle assessment of electric and fuel cell vehicles.- Cost-effective analysis of electric and fuel cell vehicles in carbon constrained world.- Environmental analysis of electric vehicle batteries.
Автор: Kallannan, Jagatheesan Название: Bio-Inspired Algorithms in PID Controller Optimization ISBN: 0367606968 ISBN-13(EAN): 9780367606961 Издательство: Taylor&Francis Рейтинг: Цена: 3520.00 р. Наличие на складе: Нет в наличии.
Описание: Dynamic programming is an efficient technique for solving optimization problems. It is based on breaking the initial problem down into simpler ones and solving these sub-problems, beginning with the simplest ones. A conventional dynamic programming algorithm returns an optimal object from a given set of objects. This book develops extensions of dynamic programming, enabling us to (i) describe the set of objects under consideration; (ii) perform a multi-stage optimization of objects relative to different criteria; (iii) count the number of optimal objects; (iv) find the set of Pareto optimal points for bi-criteria optimization problems; and (v) to study relationships between two criteria. It considers various applications, including optimization of decision trees and decision rule systems as algorithms for problem solving, as ways for knowledge representation, and as classifiers; optimization of element partition trees for rectangular meshes, which are used in finite element methods for solving PDEs; and multi-stage optimization for such classic combinatorial optimization problems as matrix chain multiplication, binary search trees, global sequence alignment, and shortest paths. The results presented are useful for researchers in combinatorial optimization, data mining, knowledge discovery, machine learning, and finite element methods, especially those working in rough set theory, test theory, logical analysis of data, and PDE solvers. This book can be used as the basis for graduate courses.
Автор: Wang Jing, Zhou Jinglin, Chen Xiaolu Название: Data-Driven Fault Detection and Reasoning for Industrial Monitoring ISBN: 9811680434 ISBN-13(EAN): 9789811680434 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This open access book assesses the potential of data-driven methods in industrial process monitoring engineering.
Автор: Akash Kumar Bhoi, Ranjit Panigrahi, Rutvij H. Jhaveri, Victor, Hugo C. de Albuquerque Название: Healthcare Big Data Analytics: Computational Optimization and Cohesive Approaches ISBN: 3110750732 ISBN-13(EAN): 9783110750737 Издательство: Walter de Gruyter Рейтинг: Цена: 32533.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book highlights how optimized big data applications can be used for patient monitoring and clinical diagnosis. In fact, IoT based applications are data driven and mostly employs modern optimization techniques. This book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up.
Описание: Dynamic programming is an efficient technique for solving optimization problems. and multi-stage optimization for such classic combinatorial optimization problems as matrix chain multiplication, binary search trees, global sequence alignment, and shortest paths.
Описание: Deterministic load demand modeling of electric vehicles.- Probabilistic load demand modeling of electric vehicles.- Possibilistic load demand modeling of electric vehicles.- Hybrid probalistic-possibilistic load demand modeling of electric vehicles.- Integration of electric vehicles and solar energy in power systems.- Integration of electric vehicles and wind energy in power systems.- Integration of electric vehicles, energy storage and renewable energies in power systems.- Participation of aggregated electric vehicles in demand response programs.- Impact of electric vehicles on voltage control of distribution systems.- Participation of aggregated electric vehicles in demand response programs.- Impact of electric vehicles on voltage control of distribution systems.- Participation of aggregated electric vehicles in frequency control of power systems.- Modeling and impact analysis of battery degradation on V2G programs.-Evaluation of electric vehicles impact on emission pollution reduction.- Evaluation of fuel cell vehicles impact on emission pollution reduction.- Life cycle assessment of electric and fuel cell vehicles.- Cost-effective analysis of electric and fuel cell vehicles in carbon constrained world.- Environmental analysis of electric vehicle batteries.
Автор: Broumi, Said ; Nagarajan, D ; Voskoglou, Michael G Название: Data-Driven Modelling with Fuzzy Sets: Embracing Uncertainty ISBN: 1032550104 ISBN-13(EAN): 9781032550107 Издательство: Taylor&Francis Рейтинг: Цена: 25265.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Federico Milano, Alvaro Ortega Manjavacas Название: Inverter-based Energy Storage Systems ISBN: 1108421067 ISBN-13(EAN): 9781108421065 Издательство: Cambridge Academ Рейтинг: Цена: 16790.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Providing comprehensive and in-depth coverage of the modelling, dynamic behaviour, control, and stability analysis of converter-interfaced energy storage systems, this is the perfect text for graduate students, researchers, and industry professionals working in power system dynamics, renewable energy integration, and smart grid development.
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