Grid Peak Demand Alert
AI → HumanAI forecasts electricity demand peaks and alerts grid operators for demand response.
5 nodes · 4 edgesenergy
eventagenthumansystem
Visual
Smart Meter Data Streamevent
Aggregated consumption data from smart meters across service territory.
↓sequential→ AI Load Forecasting
AI Load Forecastingagent
Predict peak demand using weather, historical patterns, and event calendars.
↓conditional→ Peak Demand Alert
Peak Demand Alertapi
Notify grid control room with forecast timeline and magnitude.
↓sequential→ Grid Operator Review
Grid Operator Reviewhuman
Operator validates forecast and decides on demand response measures.
↓conditional→ Demand Response Activation
Demand Response Activationsystem
Dispatch curtailment signals, activate peaker plants, or trigger load shedding.
uc-grid-demand-alert.osop.yaml
osop_version: "1.0"
id: "grid-demand-alert"
name: "Grid Peak Demand Alert"
description: "AI forecasts electricity demand peaks and alerts grid operators for demand response."
nodes:
- id: "meter_data"
type: "event"
name: "Smart Meter Data Stream"
description: "Aggregated consumption data from smart meters across service territory."
- id: "load_forecast"
type: "agent"
subtype: "llm"
name: "AI Load Forecasting"
description: "Predict peak demand using weather, historical patterns, and event calendars."
- id: "peak_alert"
type: "api"
name: "Peak Demand Alert"
description: "Notify grid control room with forecast timeline and magnitude."
- id: "operator_review"
type: "human"
subtype: "review"
name: "Grid Operator Review"
description: "Operator validates forecast and decides on demand response measures."
security:
approval_gate: true
- id: "demand_response"
type: "system"
name: "Demand Response Activation"
description: "Dispatch curtailment signals, activate peaker plants, or trigger load shedding."
edges:
- from: "meter_data"
to: "load_forecast"
mode: "sequential"
- from: "load_forecast"
to: "peak_alert"
mode: "conditional"
when: "forecast.peak_mw > capacity_threshold"
- from: "peak_alert"
to: "operator_review"
mode: "sequential"
- from: "operator_review"
to: "demand_response"
mode: "conditional"
when: "review.activate == true"