Finding Resilient and Energy-saving Control Strategies in Smart Homes
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{Marrone:2016:PCS,
-
author = "Stefano Marrone and Ugo Gentile",
-
title = "Finding Resilient and Energy-saving Control Strategies
in Smart Homes",
-
journal = "Procedia Computer Science",
-
volume = "83",
-
pages = "976--981",
-
year = "2016",
-
note = "The 7th International Conference on Ambient Systems,
Networks and Technologies (ANT 2016) / The 6th
International Conference on Sustainable Energy
Information Technology (SEIT-2016) / Affiliated
Workshops",
-
ISSN = "1877-0509",
-
DOI = "doi:10.1016/j.procs.2016.04.195",
-
URL = "http://www.sciencedirect.com/science/article/pii/S1877050916302289",
-
abstract = "Evolutionary computing has demonstrated its
effectiveness in supporting the development of robust
and intelligent systems: when used in combination with
formal and quantitative models, it becomes a primary
tool in critical systems. Among the modern critical
infrastructures, smart energy grids are getting a
growing interest from many communities (academic,
industrial and political) fostering the development of
a robust energy distribution infrastructure. Energy
grids are also an example of critical cyber physical
social systems since their equilibrium can be perturbed
not only by cyber and physical attacks but also by
economical and social crises as well as changes in the
consumption profiles. The paper illustrates a practical
framework supporting the run-time evolution of the
control logic inside the Smart Meter: the centre of
modern Smart Homes. By combining the modelling and
analysis capabilities of Fluid Stochastic Petri Nets
and the flexibility of Genetic Programming, this
approach can be used to adapt the control logic of the
Smart Meters to the changes of the structure and
functionalities of the Smart Home as well as of the
operational environment. While the main objective of
the evolution is to guarantee the energetic
sustainability of the Smart Home, the fulfilment of the
user's requirements about the energetic need of the
home allows to preserve the identity of the Smart Meter
during its evolution.",
-
keywords = "genetic algorithms, genetic programming,
Computer-based Critical Infrastructures, Smart Energy
Grids, Self-Adaptive Systems, Fluid Stochastic Petri
Nets",
- }
Genetic Programming entries for
Stefano Marrone
Ugo Gentile
Citations