GRID EFFICIENCY--.--%
CO₂ SAVED-.-t
COST / kWh$0.---
SYSTEM NOMINAL
Algorithm Engine IDLE
Population Size50
Mutation Rate0.12
Elitism %20%
0
GENERATION
FITNESS
CONVERGENCE CURVE
GENETIC ALGORITHM
Evolves 50 flow configurations via tournament selection, uniform crossover & Gaussian mutation. Multi-objective: minimize transmission cost + I²R losses while satisfying all district demands.
LIVE CITY ENERGY TOPOLOGY — 12 NODES · 18 EDGES
Power Source
Substation
District Hub
Critical Node
NEXUS Intelligence AI ONLINE
SELECTED NODE
↗ Click any node on the grid
Select to view live flow metrics
CRITICAL PATHS
ASK NEXUS AI
NEXUS AI
Grid online. Monitoring 12 nodes, 18 transmission edges. I can analyze optimization strategies, predict failure cascades, or explain any algorithm decision. What would you like to know?
24-HOUR DEMAND FORECAST & OPTIMIZATION
Predicted
Actual
Optimized
IMPACT METRICS
--- MWh
ENERGY SAVED
-.-t
CO₂ REDUCED
$-.-K
COST SAVED
--.-%
STABILITY SCORE