AI Electricity Load Forecasting
Time-series ML and CNN models forecast intra-day, daily and weekly grid load.
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Detect theft. Forecast load, demand and prices. Track sentiment. Operations confirm every enforcement action.
The challenge
Theft at dispensing points and leaks go unnoticed across distributed sites.
Hub-and-spoke supply and power-exchange bidding depend on accurate forecasts.
Service issues spread on social media before teams can respond.
Focus use cases
Prevented 12,000 litres of theft per site across 42 sites.
Measure brand share of voice and sentiment against competitors.
Predict demand across hub-and-spoke distribution.
Forecast generation, grid load and power-exchange prices for bidding.
Teammate swarm
From the IntelliMesh use-case lab
Time-series ML and CNN models forecast intra-day, daily and weekly grid load.
Forecasts market clearing and day-ahead prices across 96 daily slots.
Drone imagery and AI barcode scanning verify bills of material at plants and warehouses.
Built on acceleratorsPredictive Forecasting & Time-Series · Computer Vision & Document AI · Enterprise RAG & Knowledge · AI Governance & Guardrails
Use cases and accelerators co-developed with our US partner Mintmore Inc. See mintmore.us.
Embark Water, India — utilities
Water ATMs across a hub-and-spoke network. Teammates spot theft at every point and forecast demand across hubs.
Start the 10·20·30 Pathway
Other industries
Questions
AI watches dispensing points across sites and flags theft as it happens, as deployed for Embark Water. Operations confirm every enforcement action.
Time-series models such as ARIMA, LSTM and ensembles forecast grid load, demand and price intra-day, daily and weekly.
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