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@INPROCEEDINGS{Zambrano:1053059,
      author       = {Zambrano, Holguer Humberto Noriega and Benigni, Andrea and
                      Lazzari, Riccardo and Piegari, Luigi},
      title        = {{A} {F}orecast-{D}riven {E}nergy {M}anagement {M}ethodology
                      for {M}icrogrids under {S}easonal {V}ariability},
      publisher    = {IEEE},
      reportid     = {FZJ-2026-01399},
      pages        = {1108-1114},
      year         = {2025},
      abstract     = {This paper introduces a dynamic energy management strategy
                      based on model predictive control (MPC) for a microgrid with
                      photovoltaic generation and an energy storage system. The
                      strategy is designed to be able to acclimate to different
                      seasonal situations. Moreover, to model realistic scenarios,
                      some forecasting uncertainties are made current, using noise
                      models for photovoltaic, load and cost variables. The
                      performance of the MPC was also compared with an open-loop
                      controller with pre-known trajectory prediction. Moreover,
                      some week scenarios are carried out using real and processed
                      solar generation data and load profiles from Milan, Italy,
                      considering summer and winter periods. The results show the
                      MPC strategy is able to optimize grid transactions, while
                      the stability of the battery is kept even in hard and noisy
                      scenarios.},
      month         = {Jun},
      date          = {2025-06-24},
      organization  = {2025 International Conference on Clean
                       Electrical Power (ICCEP), Villasimius
                       (Italy), 24 Jun 2025 - 26 Jun 2025},
      cin          = {ICE-1},
      cid          = {I:(DE-Juel1)ICE-1-20170217},
      pnm          = {1121 - Digitalization and Systems Technology for
                      Flexibility Solutions (POF4-112) / 1122 - Design, Operation
                      and Digitalization of the Future Energy Grids (POF4-112) /
                      1123 - Smart Areas and Research Platforms (POF4-112)},
      pid          = {G:(DE-HGF)POF4-1121 / G:(DE-HGF)POF4-1122 /
                      G:(DE-HGF)POF4-1123},
      typ          = {PUB:(DE-HGF)8},
      doi          = {10.1109/ICCEP65222.2025.11143761},
      url          = {https://juser.fz-juelich.de/record/1053059},
}