End User
LMS
Description
The Manufacturing Energy Demand Forecasting service predicts electrical energy consumption for manufacturing facilities at hourly, daily, and weekly horizons using AI models (Prophet, gradient boosting, LSTM, Transformers). The service enables procurement optimisation, peak demand charge avoidance, renewable energy integration, demand response programme participation, and production scheduling around favourable energy pricing.
Core Capabilities
Predictive & Prescriptive Analytics
Optimization & Decision Support
Business Need
For industrial facilities, demand charges based on peak power consumption can represent 30-50% of total electricity costs. Accurate energy demand forecasting enables facility and energy managers to proactively avoid peak demand windows, optimise procurement strategies under time-of-use tariffs, and participate in demand response programmes — all providing direct cost reduction and grid service revenue opportunities.
Key Performance Indicators
MAPE and RMSE targets differentiated by forecast horizon (hourly/daily/weekly)
Peak demand detection: precision and recall of peak demand warnings vs. historical peak events
Practical utility of cost impact estimates and demand shift recommendations for production planning
Forecasts updated at least 4 times daily for short-term horizons
Data Provided
Hourly energy consumption (kWh) and peak demand (kW) forecasts across the horizon
Peak demand warnings with magnitude estimates for anticipated constraint periods
Cost impact estimates based on applicable tariff structures (TOU rates, demand charges)
Inputs: historical consumption time-series, production schedules, machine utilisation, shift patterns, weather temperature forecasts
TEF
TEF IND