Mastering energy portfolio management
We help utilities understand and forecast demand, enabling smarter energy purchasing and portfolio decisions.
overview
Buying energy right starts with understanding how customers really consume. Utilities need accurate demand profiles and forecasts that reflect consumption patterns, seasonality and weather, so they can anticipate demand, optimize energy purchasing and adapt quickly to evolving tariffs and market conditions.
use cases
Operational use cases address
Group customers based on actual consumption behaviour to support more accurate forecasting, portfolio planning, and tariff design.
Predict future demand for individual meters or customer clusters using consumption patterns, seasonality, and weather data. Machine learning models are trained, deployed and versioned within the platform.
Align procurement and balancing decisions with expected demand to improve purchasing efficiency and reduce costs.
Support flexible Time-of-Use tariffs and new market models through configuration, not custom development, with aggregations and billing determinants ready for settlement.
Align expected and actual consumption to minimise imbalance costs and improve portfolio performance.
Assess the impact of changing weather conditions, customer behaviour, and emerging technologies on future portfolio performance.
success stories
How we turn challenges into results
related products
Built for Energy intelligence
Demand Analyzer uses metering data to support customer clustering, demand forecasting, portfolio management and energy community calculations. Built on the Energyworx time-series platform, it helps utilities and energy retailers better understand consumption patterns and improve load forecasting and portfolio analysis.
Energy Data Manager collects, validates and manages energy data for electricity, gas and water utilities, energy retailers, TSOs/DSOs, and large energy users. Built on a scalable, cloud-native time-series platform, it delivers accurate, high-quality metering data to support operational processes, analytics and regulatory compliance.
Revenue Protector helps utilities identify non-technical losses, abnormal consumption and water leaks through continuous metering data analysis. Using machine learning and anomaly scoring, it prioritises suspicious cases and supports energy balance calculations. These features help teams detect issues earlier, reduce manual checks and plan field inspections more accurately.