• UA

    Utility Analytics

    Utility Analytics

    Providing the intelligence to make informed decisions.

    Providing the intelligence to make informed decisions.

With the rapidly increasing volumes of data available in the utility landscape, specialised skills and techniques are essential to mine and extract the inherent value for actionable insight.

Data analytics transforms utilities. Energy and utility companies are under constant pressure to provide high quality services with minimal to zero interruption. Analytics is not new to the industry, as it has always been employed to improve grid operations. However, an increasing volume of data is becoming available from new data sources such as IoT devices in the field, asset management, AMI/smart meters, and geographical information systems.

These new data sources enable the development of analytics models based on statistics, machine learning and big data solutions to assist utilities to make decisions in a complex environment. Utility analytics touches every link of the utility value chain, including optimal management of primary fuel and other resources, control of energy flows, regulating the grid, effective work flow, maintenance management, losses management, and theft/fraud identification.

Our techniques minimise the traditional gaps between modeller, client and end-user to simplify complex problems and solve operational challenges in the utility, energy regulator, telecommunication and retail environments.

We’ve been at the forefront of utility analytics since the late 1990s, and the African leaders in the forecasting of electricity demand for over two decades.

Our specialist team comprises highly experienced and qualified statisticians, engineers, mathematicians and IT professionals who are passionate about scientific, statistical and technological advancements to support customer decision-making.

We have a track record in the industry in a broad range of areas.

Analytics Services

  • Losses Analytics and Revenue Analytics.
  • Tariff Impact Modelling and Analytics.
  • Load Forecasting
    Short, long-term and geo-based.
  • Primary Energy
    Coal stockpile simulation; Constraints and scheduling; Renewable modelling; Losses statistics.
  • Network Planning
    Standardised profiles; Growth curves; Energy densities; Co-incidence and diversity modelling.
  • Pricing
    Tariff impacts; Momentum; Technology and economic impact modelling; Simulation; Cost of supply studies; Price, income and substitution elasticities.
  • Engineering
    Quality of supply; Power flow modelling; Losses clustering; Tracking.
  • Demand Side Management
    Technology impact modelling.
  • Market Intelligence
    Textual mining; Sentiment analysis; Auto summarisation; Spatial geocoding.
  • Asset Management
    Simulation of stock levels; Asset failure rates.
  • Customer Services
    Customer behaviour; Response and monitoring; Load profile; Disaggregation and segmentation modelling.
  • Visual Analytics
    Information visualisation; Interactive and graphic design; Data transformations and representation.
  • Multivariate Statistics
    Principle components; Factor analysis; Cluster analysis; Discriminate analysis.
  • Time Series Analysis
    ARIMA; Spectral analysis; Error correction models; Exponential smoothing methods.
  • Machine Learning
    Decision trees; Artificial neural networks; Genetic programming; Bayesian networks; Random forest.
  • Correspondence Analysis
    Contingency tables; Multiple correspondence analysis; Categorical data.
  • Renewable Energy Forecasting
    Solar plant generation forecasting; Wind turbine generation forecasting.
  • Business Intelligence
    We have deployed several BI solutions for utilities in Southern Africa.
  • Energy Modelling
    Our Electricity Market Model, developed using MESSAGE, estimates least-cost energy flows within and between the interconnected Southern and Eastern African Power Pool countries, given certain scenario assumptions.

Renewable Energy Forecaster


In Africa, as in many other parts of the world, renewable energy sources are becoming a sizeable portion of the total energy mix. This poses an enormous challenge for electricity grid operators who have to ensure there is enough generation to meet customers’ demand. In order to balance demand and supply and maximise the utilisation of the lower cost renewable generation assets, without compromising system stability and risk, highly accurate forecasting is essential.

Our Renewable Energy Forecaster accurately predicts renewable energy production. It is a stand-alone, cloud-based solution, and integrates seamlessly as an additional module to the latest version of our Energy Trading System to facilitate daily operational and annual planning.

Analytics Output Examples

Example 5
Example 1
Example 2
Example 3