Demand Forecaster
Predicts energy demand patterns using AI-driven analytics to support planning and optimization.
Discover our Solution
The Demand Forecaster leverages advanced analytics to transform validated metering and weather data into highly accurate demand predictions. Built on the trusted Energy Data Manager module, it ensures consistency and reliability across all datasets.
Using machine learning, the module delivers granular forecasts, accounting for weather, behavioural patterns and emerging consumption trends at meter level. This enables utilities to plan procurement, optimise operations and reduce imbalance risk.
It works seamlessly with other modules such as Load Pattern Analyzer and Advanced Smart Grid Analytics, providing a unified approach to forecasting and grid intelligence.
Delivered as Software as a Service (SaaS), the solution offers scalability, continuous updates and secure integration with utility systems for future-proof forecasting.
Covered use cases
More accurate energy procurement
Granular forecasts at meter level reduce imbalance costs and improve purchasing decisions. Utilities can plan ahead with confidence, avoiding expensive over- or under-buying.
EV and solar impact visibility
Automatically detects new load patterns from EV charging and rooftop generation. This insight helps utilities prepare capacity and maintain grid stability without manual adjustments.
Smarter tariff and pricing design
Detailed demand insights support time-of-use pricing and flexible tariff strategies. Utilities can create tariffs that reflect real behaviour, reducing peaks and improving customer engagement.
Heat pump readiness for seasonal loads
Forecasts seasonal load shifts caused by heat pump installations. This enables proactive capacity planning and prevents transformer overloads during winter peaks.
Targeted and efficient demand response
Identifies high-impact customers and optimal time windows for flexibility programmes. Utilities can maximise programme efficiency and ROI by focusing on where it matters most.
Long-term tracking for investment planning
Monitors evolving behaviours like electrification and decentralised generation. These insights guide smarter network investments and ensure readiness for future demand patterns.