{
  "abstract": "Utility-scale and distributed photovoltaic deployments across the Iberian Peninsula face a dual bottleneck: complex multi-jurisdictional environmental permitting under Spain's Ley 21/2013 and EU Directive 2023/2413 (RED III), and electro-thermal performance uncertainty under high summer irradiance, weak distribution nodes (REE P.O. 12.2), and aeronautical servitudes (AESA Real Decreto 384/2023).\n\nSOLAR-CORE: HELIOS V1 (Open-Core Release) resolves this fragmentation through a unified Level-2 Parametric Photovoltaic Digital Twin (ISO 23247) that couples satellite-assimilated anisotropic sky transposition (EC JRC PVGIS-SARAH2, Perez 1990 & 5-component HDKR) and n-TOPCon cell thermodynamics (Faiman 2008, IEC 61215 / IEC TS 62804-1) with preventive territorial buffer verification (Red Natura 2000, Public Hydraulic Domain RDL 1/2001, Livestock Trails Ley 3/1995), Sandia SGHAT retinal glare optics, Pasquill-Gifford PM10 fugitive dust modeling (RD 102/2011), and 25-year Project Finance DCF bankability analysis.\n\nAt its computational core, HELIOS executes a 11.41M-parameter Spatio-Temporal Transformer Physics-Informed Neural Network (HeliosSpatialTemporalTransformerPINN, R&sup2; = 0.9912, MAE T_cell = 0.35 °C, latency < 1 ms) governed in real time by the PhysicsSentinelSidecar and encapsulated by the Athena & Astraea Double DNA Armor (109 verified statutory standards and 12 seminal scientific papers).",
  "abstract_shown": true,
  "affiliations": [
    "Yggdrasil Environmental Systems"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Kelvin Jesus Flores Yarihuaman",
      "orcid": "0000-0002-2785-6541"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/2mkc4ae5da8xg.bib",
  "cited_by": 0,
  "doi": "10.5281/zenodo.23506041",
  "fulltext_url": null,
  "id": "2mkc4ae5da8xg",
  "issns": [],
  "landing_url": "https://zenodo.org/records/23506041",
  "language": "eng",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [],
  "openalex": null,
  "pdf_url": "https://zenodo.org/api/records/23506041/files/WHITE_PAPER_SOLAR_CORE_HELIOS_OPEN_CORE.pdf/content",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-20",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/2mkc4ae5da8xg.ris",
  "sources": [
    {
      "first_seen": "2026-11-03T12:20:23Z",
      "native_id": "23506041",
      "source": "zenodo",
      "url": "https://zenodo.org/records/23506041"
    }
  ],
  "subjects": [],
  "title": "SOLAR-CORE: HELIOS — Grey-Box Parametric Photovoltaic Digital Twin & Physics-Informed Neural Network (PINN) for n-TOPCon Yield, Grid Stability, and Environmental Impact Assessment (Ley 21/2013)",
  "title_text": "SOLAR-CORE: HELIOS — Grey-Box Parametric Photovoltaic Digital Twin & Physics-Informed Neural Network (PINN) for n-TOPCon Yield, Grid Stability, and Environmental Impact Assessment (Ley 21/2013)",
  "type": "preprint",
  "updated_at": "2026-11-03T12:20:23Z",
  "url": "https://research.draconitic.com/paper/2mkc4ae5da8xg",
  "venue": "Zenodo",
  "versions": []
}