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Titlebook: Analytics for the Sharing Economy: Mathematics, Engineering and Business Perspectives; Emanuele Crisostomi,Bissan Ghaddar,Robert Shorten B

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發(fā)表于 2025-3-21 19:48:12 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Analytics for the Sharing Economy: Mathematics, Engineering and Business Perspectives
影響因子2023Emanuele Crisostomi,Bissan Ghaddar,Robert Shorten
視頻videohttp://file.papertrans.cn/157/156717/156717.mp4
發(fā)行地址Applies control and optimization techniques to shared-ownership industrial and economic models.Includes several case studies from the real world.Demonstrates the shared-ownership paradigm in systems i
圖書封面Titlebook: Analytics for the Sharing Economy: Mathematics, Engineering and Business Perspectives;  Emanuele Crisostomi,Bissan Ghaddar,Robert Shorten B
影響因子.The book provides an encompassing overview of all aspects relating to the sharing economy paradigm in different fields of study, and shows the ongoing research efforts in filling previously identified gaps in understanding in this area. Control and optimization analytics for the sharing economy explores bespoke analytics, tools, and business models that can be used to help design collaborative consumption services (the shared economy). It provides case studies of collaborative consumption in the areas of energy and mobility..The contributors review successful examples of sharing systems, and explore the theory for designing effective and stable shared-economy models. They discuss recent innovations in and uses of shared economy models in niche areas, such as energy and mobility. Readers learn the scientific challenging issues associated with the realization of a sharing economy. Conceptual and practical matters are examined, and the state-of-the-art tools and techniquesto address such applications are explained. The contributors also show readers how topical problems in engineering, such as energy consumption in power grids, or bike sharing in transportation networks, can be formu
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Optimization Methods: An Applications-Oriented Primerd then applying appropriate mathematical methods to find an optimal solution of the model, which is ultimately translated into actual decisions. The development of mathematical tools for solving optimization problems dates back to Newton and Leibniz, but it has tremendously accelerated since the adv
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On Distributed Generalized Nash Equilibrium Seekingn, yet all are subject to shared, coupling constraints. Distributed algorithms represent viable solution methods for solving generalized Nash equilibrium problems, since they require the agents to optimize and communicate locally, besides agree on the shared resources with selected other agents. The
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Distributed Algorithms for Internet-of-Things-Enabled Prosumer Markets: A Control Theoretic Perspectesource to another community in a prosumer market. In this chapter, we propose a control theoretic approach to regulate the number of prosumers in a prosumer community, where each prosumer has a cost function that is coupled through its time-averaged production and consumption of the resource. Furth
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Negotiation Approaches for Sharing Systemsns are introduced and discussed here, from pool-based to peer-to-peer, also considering a community-based approach. These various organizations are motivated, the related negotiation mechanisms described and their properties discussed. The example of electric energy sharing is used as a basis for di
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