{
  "id": "workflow:renewable-energy-forecasting",
  "_kind": "Workflow",
  "_file": "workflows/workflows/workflows-energy.yaml",
  "_cluster": "workflows",
  "attributes": {
    "displayName": "Renewable Energy Forecasting",
    "workflowKind": "operational",
    "triggerType": "scheduled",
    "typicalCadence": "daily",
    "complexity": "cross-team",
    "description": "Generates day-ahead and intra-day renewable energy production forecasts\n-- ingesting meteorological model outputs (irradiance, wind speed, cloud\ncover), running site-specific power-curve and panel-degradation models,\ncalibrating forecasts against historical actuals to reduce\nmean-absolute error, feeding dispatch optimization systems with\nprobabilistic generation bands, and producing curtailment-risk\nadvisories when forecast exceeds grid absorption capacity. Produces\nforecast accuracy reports, generation schedules, and curtailment\nprobability dashboards. Excludes turbine and panel hardware\nmaintenance.\n"
  },
  "outgoingEdges": [
    {
      "from": "workflow:renewable-energy-forecasting",
      "to": "role:data-scientist",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:renewable-energy-forecasting",
      "to": "role:ml-engineer",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:renewable-energy-forecasting",
      "to": "role:staff-engineer",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:renewable-energy-forecasting",
      "to": "skill-area:python-data-pipelines",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:renewable-energy-forecasting",
      "to": "skill-area:ml-fine-tuning",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:renewable-energy-forecasting",
      "to": "domain:energy",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:renewable-energy-forecasting",
      "to": "domain:data-science",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:renewable-energy-forecasting",
      "to": "responsibility:data-quality-monitoring",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:renewable-energy-forecasting",
      "to": "responsibility:capacity-planning",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:renewable-energy-forecasting",
      "to": "org-unit:data-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    },
    {
      "from": "workflow:renewable-energy-forecasting",
      "to": "org-unit:analytics-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    }
  ],
  "incomingEdges": []
}