Enercore AI
Enercore AI
ERCOT market analytics with multi-agent AI and physics-enhanced forecasting
ERCOT grid operators and energy traders need real-time load forecasting, price spike analysis, and weather-demand correlation — but legacy tools lack the ML sophistication to find hidden market patterns.
Real-time KPIs, AI chat, and alerts across Houston, North, South, and West ERCOT zones.
~1.00% MAPE using CDD, HDD, Wind Chill, Thermal Inertia, and Cumulative Temperature features.
Load Agent, Price Agent, Weather Agent, and Search Agent collaborate to answer complex grid questions.
Cortex Search over ~1,000 RTO Insider articles for market intelligence and regulatory context.
What your data is hiding — patterns invisible to human analysis, detectable only through ML correlation.
Standard seasonal price patterns in ERCOT zones
Humidity-driven demand in Houston creates price spikes uncorrelated with temperature alone; West-Houston evening congestion corridor follows predictable patterns
Data center load growth causing systematic forecast errors in North zone
Built on Snowflake with enterprise-grade security, rate limiting, and audit logging.
Request a personalized demo to explore how Power & Utilities surfaces hidden patterns in your power & utilities data.
AI-powered intelligence for energy, construction, and industrial operations.