Forecaster Renewables

Implement forecasting models for the generation of power
Published by Accenture


  • Power Generation Forecasts
  • Advanced Analytics

Power Generation Forecasts

The application offers a variety of tools to help implement power generation forecasts from renewable sources. State of the art statistical forecasting methods, Statistical KPIs, Automatic creation of weather calendar drivers and many more tools are at your disposal within this application.

  • Minimize unbalancing cost: state-of-the-art statistical forecasting methods, Arima, ARMAX, AREG, GIHM, forecasts at any level of detail, flexible forecasting horizon, accuracy KPI’s, statistical indicators for fit, white noise residuals, model and coefficients significance
  • Industrialize process, allow business users to have strong control over it, reduce effort to focus on results and business decisions: all operations can be scheduled, picker for data acquisition, KPI for accuracy assessment, alerts
  • Minimize statistical know-how required to achieve accurate forecast: modeling logic based on clustering, automated identification for less confident users, stepwise selection
  • Take into account Energy Market peculiarities: latency in actual data availability, different releases of actual measure, new customers with no available data, market zones / units / losses, GIHM
  • Advanced Analytics

    Forecast the individual time series: classical time series models, regressions, autoregression, neural networks, GAM models.

  • Cluster the points/meters in groups with similar behavior using hierarchical clustering algorithms
  • Access a library of pre-configured models for the most common behaviors of generation and withdrawal
  • Select the most effective model in library with back testing simulation logic
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