Modelling Residential Smart Energy Schemes

Vashti Galpin

doi:10.1109/SASOW.2014.19

Modelling Residential Smart Energy Schemes

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper considers how a smart energy solution for residential areas can be modelled in stochastic HYPE, a process algebra that describes instantaneous, discrete stochastic and continuous deterministic behaviour. The system involves PHEVs (plug-in hybrid electric vehicles) which have batteries that can be charged either from the grid or from wind turbines, and can be viewed as a collective adaptive system (CAS). With a language such as stochastic HYPE, easy experimentation with the model and exploration of modifications of the basic scenario are possible. However, simulation can be infeasible for more complex models or larger models, and the paper discusses future work involving abstractions of the model that mitigate this problem.

Original language	English
Title of host publication	Eighth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops, SASOW 2014, London, United Kingdom, September 8-12, 2014
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	49-54
Number of pages	6
DOIs	https://doi.org/10.1109/SASOW.2014.19
Publication status	Published - 2014

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10.1109/SASOW.2014.19

Galpin 2014 Modelling residential smart energy schemesAccepted author manuscript, 217 KB

http://dx.doi.org/10.1109/SASOW.2014.19

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QUANTICOL - A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours (RTD)
Hillston, J. & Gilmore, S.
EU government bodies
1/04/13 → 31/03/17
Project: Research

Cite this

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title = "Modelling Residential Smart Energy Schemes",

abstract = "This paper considers how a smart energy solution for residential areas can be modelled in stochastic HYPE, a process algebra that describes instantaneous, discrete stochastic and continuous deterministic behaviour. The system involves PHEVs (plug-in hybrid electric vehicles) which have batteries that can be charged either from the grid or from wind turbines, and can be viewed as a collective adaptive system (CAS). With a language such as stochastic HYPE, easy experimentation with the model and exploration of modifications of the basic scenario are possible. However, simulation can be infeasible for more complex models or larger models, and the paper discusses future work involving abstractions of the model that mitigate this problem.",

author = "Vashti Galpin",

year = "2014",

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publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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Modelling Residential Smart Energy Schemes. / Galpin, Vashti.

Eighth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops, SASOW 2014, London, United Kingdom, September 8-12, 2014. Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 49-54.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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BT - Eighth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops, SASOW 2014, London, United Kingdom, September 8-12, 2014

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

Modelling Residential Smart Energy Schemes

Abstract

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QUANTICOL - A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours (RTD)

Cite this