2014 IEEE Conference on Self-Adaptive and Self-Organizing Systems Workshops (SASOW) (2014)
Imperial College, London, United Kingdom
Sept. 8, 2014 to Sept. 12, 2014
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SASOW.2014.19
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.
Batteries, Stochastic processes, Electricity, Wind energy, Wind turbines, Adaptation models, Semantics
V. Galpin, "Modelling Residential Smart Energy Schemes," 2014 IEEE Conference on Self-Adaptive and Self-Organizing Systems Workshops (SASOW), Imperial College, London, United Kingdom, 2014, pp. 49-54.