› › Mathematical Optimization For Efficient And Robust Energy Networks

Mathematical Optimization for Efficient and Robust Energy Networks

Author : Natalia Selini Hadjidimitriou

Publisher : Springer Nature

Page : 131 pages

File Size : 50,75 MB

Release : 2021-03-19

Category : Technology & Engineering

ISBN : 3030574423

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Book Description

This book presents a collection of energy production and distribution problems identified by the members of the COST Action TD1207 "Mathematical Optimization in the Decision Support Systems for Efficient and Robust Energy Networks". The aim of the COST Action was to coordinate the efforts of the experts in different fields, from academia and industry, in developing innovative tools for quantitative decision making, and apply them to the efficient and robust design and management of energy networks. The work covers three main goals:• to be a nimble while comprehensive resource of several real life business problems with a categorized set of pointers to many relevant prescriptive problems for energy systems;• to offer a balanced mix of scientific and industrial views;• to evolve over time in a flexible and dynamic way giving, from time to time, a more scientific or industrial - or even political in a broad sense - weighed perspective.It is addressed to researchers and professionals working in the field.



Innovations for Community Services

Author : Frank Phillipson

Publisher : Springer Nature

Page : 336 pages

File Size : 37,91 MB

Release : 2022-06-06

Category : Computers

ISBN : 3031066685

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Book Description

This book constitutes the refereed proceedings of the 22nd International Conference on Innovations for Community Services, I4CS 2022, held in Delft, The Netherlands, in June 2022. The 15 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 43 submissions. Three invited papers were also included in the volume. The papers focus on topics such as services for critical infrastructure; network architecture for communities; applications and services supporting work and life; community data and visualization; technology empowers industry processes; and future community support.



Robust Design and Assessment of Product and Production by Means of Probabilistic Multi-objective Optimization

Author : Maosheng Zheng

Publisher : Springer Nature

Page : 129 pages

File Size : 14,61 MB

Release : 2024

Category : Engineering design

ISBN : 9819726611

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Book Description

Zusammenfassung: This book develops robust design and assessment of product and production from viewpoint of system theory, which is quantized with the introduction of brand new concept of preferable probability and its assessment. It aims to provide a new idea and novel way to robust design and assessment of product and production and relevant problems. Robust design and assessment of product and production is attractive to both customer and producer since the stability and insensitivity of a product's quality to uncontrollable factors reflect its value. Taguchi method has been used to conduct robust design and assessment of product and production for half a century, but its rationality is criticized by statisticians due to its casting of both mean value of a response and its dispersion into one index, which doesn't characterize the issue of simultaneous robust design of above two independent responses sufficiently, so an appropriate approach is needed. The preference or role of a response in the evaluation is indicated by using preferable probability as the unique index. Thus, the rational approach for robust design and assessment of product and production is formulated by means of probabilistic multi-objective optimization, which reveals the simultaneous robust designs of both mean value of a response and its dispersion in manner of joint probability. Besides, defuzzification and fuzzification measurements are involved as preliminary approaches for robust assessment, the latter provides miraculous treatment for the 'target the best' case flexibly



Integrated Green Energy Solutions, Volume 2

Author : Milind Shrinivas Dangate

Publisher : John Wiley & Sons

Page : 388 pages

File Size : 34,16 MB

Release : 2023-06-20

Category : Science

ISBN : 1394193661

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Book Description

INTEGRATED GREEN ENERGY SOLUTIONS This second volume in a two-volume set continues to present the state of the art for the concepts, practical applications, and future of renewable energy and how to move closer to true sustainability. Renewable energy supplies are of ever-increasing environmental and economic importance in every country in the world. A wide range of renewable energy technologies has been established commercially and recognized as an important set of growth industries for most governments. World agencies, such as the United Nations, have extensive programs to encourage these emerging technologies. This book will bridge the gap between descriptive reviews and specialized engineering technologies. It centers on demonstrating how fundamental physical processes govern renewable energy resources and their applications. Although the applications are being updated continually, the fundamental principles remain the same, and this book will provide a useful platform for those advancing the subject and its industries. Integrated Resilient Energy Solutions is a two-volume set covering subjects of proven technical and economic importance worldwide. Energy supply from renewables is an essential component of every nation’s strategy, especially when there is responsibility for the environment and sustainability. These two volumes will consider the timeless renewable energy technologies’ principles yet demonstrate modern applications and case studies. Whether for the veteran engineer, student, or other professional, these two volumes are a must-have for any library.



Exploiting structure in non-convex quadratic optimization and gas network planning under uncertainty

Author : Jonas Schweiger

Publisher : Logos Verlag Berlin GmbH

Page : 206 pages

File Size : 49,79 MB

Release : 2017

Category : Mathematics

ISBN : 3832546677

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Book Description

The amazing success of computational mathematical optimization over the last decades has been driven more by insights into mathematical structures than by the advance of computing technology. In this vein, Jonas Schweiger addresses applications, where nonconvexity in the model and uncertainty in the data pose principal difficulties. In the first part, he contributes strong relaxations for non-convex problems such as the non-convex quadratic programming and the Pooling Problem. In the second part, he contributes a robust model for gas transport network extension and a custom decomposition approach. All results are backed by extensive computational studies.



Robust Optimization

Author : Aharon Ben-Tal

Publisher : Princeton University Press

Page : 565 pages

File Size : 42,24 MB

Release : 2009-08-10

Category : Mathematics

ISBN : 1400831059

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Book Description

Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so useful in real applications that it is difficult to tackle such problems today without considering this powerful methodology. Written by the principal developers of robust optimization, and describing the main achievements of a decade of research, this is the first book to provide a comprehensive and up-to-date account of the subject. Robust optimization is designed to meet some major challenges associated with uncertainty-affected optimization problems: to operate under lack of full information on the nature of uncertainty; to model the problem in a form that can be solved efficiently; and to provide guarantees about the performance of the solution. The book starts with a relatively simple treatment of uncertain linear programming, proceeding with a deep analysis of the interconnections between the construction of appropriate uncertainty sets and the classical chance constraints (probabilistic) approach. It then develops the robust optimization theory for uncertain conic quadratic and semidefinite optimization problems and dynamic (multistage) problems. The theory is supported by numerous examples and computational illustrations. An essential book for anyone working on optimization and decision making under uncertainty, Robust Optimization also makes an ideal graduate textbook on the subject.



Information Theory, Mathematical Optimization, and Their Crossroads in 6G System Design

Author : Shih-Chun Lin

Publisher : Springer Nature

Page : 403 pages

File Size : 26,84 MB

Release : 2022-09-18

Category : Technology & Engineering

ISBN : 9811920168

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Book Description

This book provides a broad understanding of the fundamental tools and methods from information theory and mathematical programming, as well as specific applications in 6G and beyond system designs. The contents focus on not only both theories but also their intersection in 6G. Motivations are from the multitude of new developments which will arise once 6G systems integrate new communication networks with AIoT (Artificial Intelligence plus Internet of Things). Design issues such as the intermittent connectivity, low latency, federated learning, IoT security, etc., are covered. This monograph provides a thorough picture of new results from information and optimization theories, as well as how their dialogues work to solve aforementioned 6G design issues.



Mathematical Modeling, Simulation and Optimization for Power Engineering and Management

Author : Simone Göttlich

Publisher : Springer Nature

Page : 333 pages

File Size : 10,81 MB

Release : 2021-02-02

Category : Technology & Engineering

ISBN : 3030627322

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Book Description

This edited monograph offers a summary of future mathematical methods supporting the recent energy sector transformation. It collects current contributions on innovative methods and algorithms. Advances in mathematical techniques and scientific computing methods are presented centering around economic aspects, technical realization and large-scale networks. Over twenty authors focus on the mathematical modeling of such future systems with careful analysis of desired properties and arising scales. Numerical investigations include efficient methods for the simulation of possibly large-scale interconnected energy systems and modern techniques for optimization purposes to guarantee stable and reliable future operations. The target audience comprises research scientists, researchers in the R&D field, and practitioners. Since the book highlights possible future research directions, graduate students in the field of mathematical modeling or electrical engineering may also benefit strongly.



Innovations for Community Services

Author : Udo R. Krieger

Publisher : Springer Nature

Page : 362 pages

File Size : 12,24 MB

Release : 2023-08-31

Category : Computers

ISBN : 3031408527

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Book Description

This book constitutes the refereed proceedings of the 23rd International Conference on Innovations for Community Services, I4CS 2023, held in Bamberg, Germany, in September 2023. The 15 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 38 submissions. One invited talk in full-paper length is included in the volume. The papers focus on topics such as distributed architectures and frameworks for community services, advanced applications regarding digital communities on the move, new trends of socialization covering the ambient work and living of digital societies.