@article{fdi:010069509,
  title = {{E}ffective streamflow process modeling for optimal reservoir operation using stochastic dual dynamic programming},
  author = {{R}aso, {L}. and {M}alaterre, {P}. {O}. and {B}ader, {J}ean-{C}laude},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his article presents an innovative streamflow process model for use in reservoir operational rule design in stochastic dual dynamic programming ({SDDP}). {M}odel features, which can be applied independently, are (1)a multiplicative process model for the forward phase and its linearized version for the backward phase; and (2)a nonuniform time-step length that is inversely proportional to seasonal variability. {T}he advantages are (1)guaranteeing positive streamflow values still maintaining problem linearity, and (2)making system adaptation faster during high variable periods. {M}odel identification is straightforward, as with the additive periodic autoregressive model generally used in {SDDP}. {T}he proposed model is applied on the {S}enegal {R}iver system for the optimal operation of {M}anantali {R}eservoir and evaluated against the streamflow process model currently used in the water management literature.},
  keywords = {{MALI}},
  booktitle = {},
  journal = {{J}ournal of {W}ater {R}esources {P}lanning and {M}anagement},
  volume = {143},
  numero = {4},
  pages = {art. 04017003 [11 p.]},
  ISSN = {0733-9496},
  year = {2017},
  DOI = {10.1061/(asce)wr.1943-5452.0000746},
  URL = {https://www.documentation.ird.fr/hor/fdi:010069509},
}