An intelligent real-time cyber-physical toolset for energy and process prediction and optimisation in the future industrial Internet of Things

An intelligent real-time cyber-physical toolset for energy and process prediction and optimisation in the future industrial Internet of Things

Energy waste significantly contributes to increased costs in the automotive manufacturing industry, which is subject to energy usage restrictions and taxation from national and international policy makers and restrictions and charges from national energy providers. For example, the UK Climate Change...

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Bibliographic Details
Main Authors: Sarogini Pease, Russell Trueman, Callum Davies, Jude Grosberg, Kai Hin Yau, Navjot Kaur, Paul Conway, Andrew West
Format: Default Article
Published: 2017
Subjects:
Mechanical engineering not elsewhere classified
Distributed computing and systems software not elsewhere classified
Information systems not elsewhere classified
Software engineering not elsewhere classified
Wireless networks
Real-time systems
Energy efficiency
Energy management
Process planning
Information Systems
Mechanical Engineering not elsewhere classified
Computer Software
Distributed Computing
Online Access:https://hdl.handle.net/2134/27124
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https://hdl.handle.net/2134/27124

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