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Titlebook: Mathematical Optimization for Efficient and Robust Energy Networks; Natalia Selini Hadjidimitriou,Antonio Frangioni,An Book 2021 The Edito

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发表于 2025-3-21 16:21:44 | 显示全部楼层 |阅读模式
书目名称Mathematical Optimization for Efficient and Robust Energy Networks
编辑Natalia Selini Hadjidimitriou,Antonio Frangioni,An
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概述A unique attempt to cover all facets of energy optimization.Offers an overview from technical issues of the electrical system and energy commodities (production and demand management, network and stor
丛书名称AIRO Springer Series
图书封面Titlebook: Mathematical Optimization for Efficient and Robust Energy Networks;  Natalia Selini Hadjidimitriou,Antonio Frangioni,An Book 2021 The Edito
描述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..
出版日期Book 2021
关键词Electrical Energy Systems; Commodities Energy Systems; Production and Demand Management; Network and St
版次1
doihttps://doi.org/10.1007/978-3-030-57442-0
isbn_softcover978-3-030-57444-4
isbn_ebook978-3-030-57442-0Series ISSN 2523-7047 Series E-ISSN 2523-7055
issn_series 2523-7047
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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In the (post) informa­ tion age economy, the German financial services market and many big financial services providers are in a deep crisis. Increasing competition due to deregulation and improved transparency through new means of communication on the one hand, and empowered customers demanding in
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J. Marecek,F. L. Escudero,P. Gabrielli,F. Lacalandra,A. Soroudi,M. Mevissen,C. Josz,B. Ghaddar,A. Gre children were immunized with this vaccine, and these efforts culminated in mass oral immunization of 250,000 infants in the Belgian Congo, during the epidemic of true infantile paralysis. This immunization required six weeks to perform. Our current interest in oral immunization stems from the fact
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H. Helmberg,F. Lacalandra,M. Schmidt,C. Henriques,A. De Filippo,M. Lombardi,M. Milano,P. Ezran,Y. Haimmunization. The concept of a common mucosal immune system is embodied in the observation that IgA B lymphocytes initially encountering antigen at one mucous membrane can, during their differentiation toward IgA-secreting plasma cells, migrate to other mucous membranes distant from the site of init
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C. D’Ambrosio,F. Lacalandra,J. Lellep,K. Vuik,A. Bischi,T. Parriani,E. Martelli,E. de Klerk,A. Maranroteins (Murphy et al. 1985). In nature, the virus undergoes antigenic changes, referred to as antigenic drift and shift, that permit it to escape from immunity induced by prior infection with related influenza A viruses (Murphy et al. 1985). Common to both types of antigenic change are alterations
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Production and Demand Managementreduce total energy consumption, but it helps to meet energy demand and supply. For example, it balances variable generation from renewables (such as solar and wind) when energy demand differs from renewable generation.
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Network and Storagee mainly related to natural gas and deal with the definition of the “optimal” gas pipelines design which includes a number of related sub problems such as: Gas stations (compression) location and Gas storage locations, as well as compression station design and optimal operation.
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