Finding Resilient and Energy-saving Control Strategies in Smart Homes

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  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
  ISSN =         "1877-0509",
  DOI =          "doi:10.1016/j.procs.2016.04.195",
  URL =          "",
  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

Genetic Programming entries for Stefano Marrone Ugo Gentile