@article{vac-pis-zob-15-aa-enerhub,
  author = {Vaccaro, Alfredo and Pisani, Cosimo and Zobaa, Ahmed Faheem},
  title = {Affine Arithmetic-Based Methodology for Energy Hub Operation-Scheduling in the Presence of Data Uncertainty},
  journal = {IET Generation, Transmission {\&} Distribution},
  volume = {9},
  number = {13},
  pages = {1544-1552},
  year = 2015,
  doi = {10.1049/iet-gtd.2015.0197},
  abstract = {In this study, the role of self-validated computing for solving the energy hub-scheduling problem in the presence of multiple and heterogeneous sources of data uncertainties is explored and a new solution paradigm based on affine arithmetic is conceptualised. The benefits deriving from the application of this methodology are analysed in details, and several numerical results are presented and discussed.}
}