IntelligenceIQ
United Power · Grid Operations
Grid SCADA Live
3 HITL Pending
⚡ 847 MW Load
Active Initiatives
12
↑ +3 this week
Signals Detected
47
7 unreviewed
Tasks In Progress
28
↑ 82% on-track
Completed (90d)
8
↑ +34% accuracy
Grid Reliability
99.94%
↑ +0.12% MoM
🔄IntelligenceIQ v4.0 — Continuous Learning LoopHITL Active
Detect
Signals
Create
Initiatives
Assign
Owners
Execute
Tasks
5
Measure
Outcomes
6
Learn &
Improve
Current Stage
Task Execution — ActionIQ
28 / 45 tasks active
HITL Queue
3
Decisions awaiting validation
AI Model Accuracy
94.2%
↑ +8.3% via feedback loop
📋Initiative Pipeline12 active
📈Grid Reliability Index (90d)↑ improving
BEFORE IIQ
99.72%
CURRENT
99.94%
DELTA
+0.22%
🔔Active Grid Alerts2 Critical
🔴
Substation S-14 Anomalous Load Pattern Detected
TrendIQ detected 18% above-baseline load surge on feeder F-14A. Possible transformer stress. Initiative INI-042 created.
📡 AI Detection · 14 min ago · Confidence 91%
🟡
Solar Ramp-Down Forecast: Intermittency Risk 14:00–16:00
Weather model projects 60% cloud cover. Battery discharge strategy recommended. DecisionIQ plan pending approval.
☀️ Renewable Ops · 32 min ago · Confidence 84%
🔵
DER Enrollment Milestone: 1,200 New Prosumers This Quarter
DER management program exceeding targets. EffectivenessIQ loop flagged as best practice for model training.
🌐 DER Operations · 2 hr ago · Achievement
🤖 TrendIQ AI Analysis · Running Pattern correlation active · 47 signals analyzed
AI has detected 3 correlated signal clusters across grid reliability, solar intermittency, and substation load data. Recommended: promote S-14 anomaly and solar ramp-down signals to initiative status and merge into unified "Grid Stability — Summer Peak" initiative.
📡Live Signal Feed 7 New
Signal
Confidence
Impact
Source
Action
🎯Initiative Creation Panel12 active
🤖AI Initiative Owner RecommendationHITL Required
Initiative: Substation S-14 Load Anomaly Response
Suggested Owner Confidence 89%
📧 Maria Chen — VP Grid Operations
Directly owns substation reliability KPIs
Led similar initiative INI-031 (S-11 incident)
Current workload: 2 active initiatives (capacity available)
Initiative: Solar Intermittency Response Plan
Suggested Owner Confidence 82%
📧 James Park — Renewable Ops Lead
Owns solar generation & battery coordination
Handled 4 of last 5 intermittency responses
Available: no current high-priority initiatives
📌 INI-042 — Substation S-14 Load Anomaly Response High Priority HITL Pending Owner: Maria Chen
Respond to anomalous load pattern on Feeder F-14A. Investigate transformer stress indicators, model demand forecast, and prepare load-shedding contingency if needed. Prevent unplanned outage during peak summer period.
Grid Reliability Substation S-14 Feeder F-14A Summer Peak
Impact Score
9.2
Tasks
5
Due
Mar 22
Status
Planning
📋Task Planning5 tasks
🤖AI Task Owner RecommendationAuto-suggest
🗂All Active Initiatives12 total
InitiativeOwnerImpactTasksPriorityStatusActions
AI Execution Optimization — Substation S-14 Response Recommended workflow
Based on similar incidents (INI-031, INI-028), AI recommends the following execution sequence to minimize outage risk: 1. Pull SCADA load data for F-14A (30 min) → 2. Run transformer thermal model (2 hr) → 3. Compare vs. historical baseline (45 min) → 4. Generate contingency switching plan → 5. Human approval gate before execution.
Similar: INI-031 (91% match) Automation: SCADA pull available Est. resolution: 4.5 hrs
Initiative Kanban Board
Decision Accuracy
+34%
vs. pre-IIQ baseline
Outage Events Avoided
−61%
false positive reduction
Analyst Review Time
−47%
per incident
Knowledge Labels
1,240
model training events
📊Before / After AnalysisINI-031 Complete
Grid Reliability — Substation S-11 Initiative
Before
99.71%
Grid Uptime
After
99.94%
Grid Uptime
Before
4.2 hrs
Mean Response Time
After
1.8 hrs
Mean Response Time
Before
214 MW
Solar Curtailment/mo
After
81 MW
Solar Curtailment/mo
🎯Initiative Performance Dashboard
InitiativeGoal KPIActual KPIDelta
👤Human Feedback — Ground Truth LabelsHITL Input
Initiative
Outcome Assessment
Root Cause Insight
Strategy Adjustment for Next Time
🔄Continuous Learning LoopActive
📡
Detect
Signal
Clusters
🎯
Decide
Reasoning
Trace
Act
Action
Log
📊
Measure
KPI
Delta
Recalibrate → Improve
Human labels feed back into TrendIQ signal detection and DecisionIQ confidence thresholds. System improves with every resolved initiative.
1,240
Labels
0
Model Drift
94.2%
Accuracy
⚡ Live FeedAUTO
⚡ HITL Queue
Activity Feed