AI-powered smart meter analytics, load forecasting, demand response optimisation, and grid operations intelligence.
Utilities are managing the transition to renewables, processing massive volumes of AMI data, and facing tighter regulatory and ESG obligations. Legacy forecasting and grid operations tools cannot handle the scale, speed, or complexity required.
Smart meter deployments generate billions of readings that legacy systems cannot process or turn into actionable intelligence.
Wind and solar generation creates real-time supply uncertainty that requires AI-driven forecasting and grid balancing.
Growing ESG, emissions, and energy reporting requirements demand automated, auditable data pipelines — not manual spreadsheets.
Process AMI data at scale for consumer segmentation, usage analytics, anomaly detection, and appliance-level insights via NILM.
Generate accurate day-ahead and intra-day demand forecasts to reduce over-procurement and improve grid scheduling.
Dispatch demand response programmes intelligently across flexible load assets using AI-driven prioritization.
Produce auditable energy consumption, carbon, and emissions reports from AMI and operational data.
These use cases are enabled by SLIQ — the StratLytics grid intelligence platform. SLIQ integrates AMI data processing, AI forecasting, and demand response optimisation into a governed architecture built for utilities.
See how SLIQ helps utilities operationalise AI across smart meter analytics, load forecasting, and demand response.