AI Energy Demand Forecasting
Human → AIAI forecasts energy demand from historical data; operator validates dispatch plan.
5 nodes · 5 edgesenergy
agenthumandata
Visual
Load Historical Usagedb
Pull consumption records, weather data, and calendar events.
↓sequential→ AI Demand Forecasting
AI Demand Forecastingagent
Predict next-day and next-week demand curves with confidence intervals.
↓sequential→ Grid Capacity Check
Grid Capacity Checksystem
Validate forecast against generation capacity and reserve margins.
↓sequential→ Operator Review
Operator Reviewhuman
Grid operator reviews forecast and adjusts dispatch priorities.
↓conditional→ Issue Dispatch Plan
↓fallback→ AI Demand Forecasting
Issue Dispatch Planapi
Send generation schedule to power plants and storage facilities.
uc-energy-forecast.osop.yaml
osop_version: "1.0"
id: "ai-energy-forecast"
name: "AI Energy Demand Forecasting"
description: "AI forecasts energy demand from historical data; operator validates dispatch plan."
nodes:
- id: "load_history"
type: "db"
subtype: "query"
name: "Load Historical Usage"
description: "Pull consumption records, weather data, and calendar events."
- id: "demand_forecast"
type: "agent"
subtype: "llm"
name: "AI Demand Forecasting"
description: "Predict next-day and next-week demand curves with confidence intervals."
timeout_sec: 120
- id: "grid_check"
type: "system"
name: "Grid Capacity Check"
description: "Validate forecast against generation capacity and reserve margins."
- id: "operator_review"
type: "human"
subtype: "review"
name: "Operator Review"
description: "Grid operator reviews forecast and adjusts dispatch priorities."
security:
approval_gate: true
- id: "dispatch_plan"
type: "api"
subtype: "rest"
name: "Issue Dispatch Plan"
description: "Send generation schedule to power plants and storage facilities."
edges:
- from: "load_history"
to: "demand_forecast"
mode: "sequential"
- from: "demand_forecast"
to: "grid_check"
mode: "sequential"
- from: "grid_check"
to: "operator_review"
mode: "sequential"
- from: "operator_review"
to: "dispatch_plan"
mode: "conditional"
when: "review.approved == true"
- from: "operator_review"
to: "demand_forecast"
mode: "fallback"
label: "Adjust forecast assumptions"