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

Content Provider	Scilit
Author	Pease, Sarogini Grace Trueman, Russell Davies, Callum Grosberg, Jude Yau, Kai Hin Kaur, Navjot Conway, Paul West, Andrew
Copyright Year	2017
Description	Journal: Future Generation Computer Systems
Related Links	https://repository.lboro.ac.uk/articles/An_intelligent_real-time_cyber-physical_toolset_for_energy_and_process_prediction_and_optimisation_in_the_future_industrial_internet_of_things/9561500/files/17193653.pdf
Ending Page	829
Page Count	15
Starting Page	815
ISSN	0167739X
DOI	10.1016/j.future.2017.09.026
Journal	Future Generation Computer Systems
Volume Number	79
Language	English
Publisher	Elsevier BV
Publisher Date	2018-02-01
Access Restriction	Open
Subject Keyword	Journal: Future Generation Computer Systems Computer Science Wireless Networks Real-time Systems Energy Efficiency Energy Management Process Planning
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software

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