{
  "abstract": "Hybrid greenhouse microgrids require reliable supervisory information because photovoltaic generation can be degraded by partial shading while critical agricultural loads remain dependent on the available renewable supply. This work presents a MATLAB/Simulink system-level simulation framework for a hybrid greenhouse microgrid integrating photovoltaic generation, wind generation, battery storage, grid support, and representative greenhouse loads. A photovoltaic mismatch-awareness layer based on the EMC indicator, corresponding mathematically to the mean squared error, compares synchronized nominal and disturbed photovoltaic power trajectories using a five-sample moving window. The quantitative evaluation includes an explicit 24-h no-shading baseline together with mild, moderate, and severe imposed shading conditions. The median EMC increased from 6.77×10 3 W 2 under nominal operation to 1.62×10 4 , 8.01×10 4 , and 1.81×10 5 W 2 under mild, moderate, and severe shading, respectively. A comparison with a five-sample windowed mean absolute error (MAE w ) showed that the squared-error formulation provided greater relative separation between the evaluated mismatch-severity conditions; for example, the severe-to-mild median ratio was 11.14 for EMC and 3.52 for MAE w . The results support EMC as a compact supervisory mismatch-awareness signal within the evaluated simulation, while the observed distributions remain scenario-dependent. The framework does not implement closed-loop load scheduling, battery dispatch, grid-support control, or experimental hardware validation.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "name": "Victor Eliasib Perez Mendez"
    },
    {
      "name": "Jérôme Bosche"
    },
    {
      "name": "David Lara Alabazares"
    },
    {
      "name": "Abdelhamid Rabhi"
    },
    {
      "name": "Maria Teresa Meza Caiceros"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/4g4d6eejfpeyh.bib",
  "cited_by": 0,
  "doi": "10.5772/geet.20260118",
  "fulltext_url": null,
  "id": "4g4d6eejfpeyh",
  "issns": [
    "2754-6314",
    "2754-6314"
  ],
  "landing_url": "https://u-picardie.hal.science/hal-05848147v1",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "hal",
      "0.sde"
    ],
    [
      "hal",
      "0.spi"
    ],
    [
      "openalex",
      "2105|Photovoltaic System Optimization Techniques"
    ]
  ],
  "openalex": "W7224354901",
  "pdf_url": "https://cdnintech.com/articles/1139/1793257209-126955761/geet20260118-r22026-10-29%2007%3A59%3A42.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-29",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/4g4d6eejfpeyh.ris",
  "sources": [
    {
      "first_seen": "2026-11-02T12:20:44Z",
      "native_id": "hal-05848147",
      "source": "hal",
      "url": "https://u-picardie.hal.science/hal-05848147v1"
    }
  ],
  "subjects": [
    {
      "field": "earth",
      "origin": "hal:0.sde",
      "subfield": "environmental-science"
    }
  ],
  "title": "Simulation-Based Supervisory Monitoring of Photovoltaic Mismatch in a Hybrid Greenhouse Microgrid",
  "title_text": "Simulation-Based Supervisory Monitoring of Photovoltaic Mismatch in a Hybrid Greenhouse Microgrid",
  "type": "peer-reviewed",
  "updated_at": "2026-11-04T12:20:48Z",
  "url": "https://research.draconitic.com/paper/4g4d6eejfpeyh",
  "venue": "Green Energy and Environmental Technology",
  "versions": []
}