MetrixND

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Accurate forecasts provide the foundation for daily operations, market planning and risk management. MetrixND allows rapid development of accurate forecasts, placing you in the best position to make important decisions and communicate results.

Designed to take advantage of advanced Windows capabilities, the intuitive user interface and drag-and-drop architecture streamlines the development of forecasting variables and models. Evaluation graphs, statistics, and reports are readily available to assist in analyzing forecasts. This interactive design strategy allows the forecast analyst to quickly evaluate alternative models and select the model that works the best for their particular data.

MetrixND is deployed as the engine in Itron's forecasting systems or used as a stand-alone tool for all your forecasting applications, including:

  • Monthly sales and revenue
  • Long-term energy demand
  • Short-term hourly and sub-hourly loads
  • Retail load schedules
  • Dynamic load profiles
  • Gas send-out
  • Market price
  • Point of delivery
  • Individual customers

MetrixND was designed for forecasters by forecasters. Put the power of the most advanced modelling techniques at your fingertips and develop accurate forecasts with confidence:

  • Exponential Smoothing. Ideal for projecting customer growth trends in monthly sales and peak forecasting applications.


  • ARIMA. For seasoned time series professionals who want to visualise how historical data patterns extend into the future.


  • Multivariate Regression. The workhorse of the energy forecasting professional. No other tool lets you build models faster.


  • Neural Networks. Essential for short-term forecasting where modelling the nonlinear response between loads and weather matters the most.

You choose the method that works best for your data. Or, use a combination of methods to provide optimal forecast accuracy. View our selection of white papers for discussions on the various forecasting methods.

Accurate forecasts can provide a quick payback on your investment, so why wait? Call us at +31 20 60 65 225 or send an email to order your copy today. Need an automated forecasting system? Let the experts create a system to meets your needs using MetrixND as the forecasting engine.

System Features

Tested and Proven Methods

Itron has developed, tested, and refined the algorithms in MetrixND for over 10 years, providing a proven track record in real-world settings.

Improved Forecast Accuracy

With MetrixND, you can tailor models to fit your needs and data, allowing you to develop the most accurate forecasting model possible.

Easy to Use

Designed to take advantage of advanced Windows capabilities, the intuitive user interface and drag-and-drop architecture streamlines the development of forecasting models.

Data Frequencies

MetrixND works with all data frequencies: sub-hourly, hourly, daily, weekly, monthly, quarterly, and annual.

Graphical Analysis

Develop accurate forecasts with confidence. MetrixND provides the most meaningful diagnostics and graphs at the click of a button, allowing you to see and understand your forecast.

Variable Creation

Create analysis variables on the fly using spreadsheet-like formulas that allow you to try different things without having to learn a programming language.

Hourly Modelling

MetrixND allows rapid development of hourly or sub-hourly models. The models you build can be calibrated automatically to forecasts of daily energy and peak demand.

Model Comparisons

MetrixND provides a simple way to compare alternative model specifications by letting you select among competing models quickly and efficiently.

Simulations

Monthly variance analyses are a snap with MetrixND. Drag-and-drop alternative forecast drivers into your model and view the impact on your forecast.

Time Series Residuals

Improving your forecast by including a time series model of the residuals is just a one-step process.

Quantifying Forecast Uncertainty

With the GARCH option in the regression and neural network models, it's easy to construct dynamic confidence bounds for your forecast.

Integrates with Existing Databases

MetrixND works with Excel® spreadsheets and a variety of databases, including, Access®, MV-90, MV-Star, ORACLE® and SQL Server®.

Visual Basic for Applications Module

Microsoft's VBA is integrated into MetrixND. With this optional module, you can write macros to build any MetrixND element including data tables, transformation tables, regression and neural network models.

Neural Network Options

MetrixND lets you build your own neural network models quickly and efficiently. Using the advanced neural network options, you can specify:

  • Specific transform functions for each node
  • Custom variable lists for each node
  • Inclusion of time-series residuals
  • Test periods for model evaluation
  • Exclusion of bad spots in the data
  • ARMA error correction
  • GARCH error variances

MetrixND uses fast optimisation algorithms, resulting in rapid training and learning. As new data become available, continued model learning takes only a few seconds.

Default Model

MetrixND comes with powerful default models for next-day load forecasting. You can use these models, add your own enhancements, or start from scratch and develop new models.

Understand Your Forecast

Best of all, MetrixND allows you to see and understand your forecast. It is designed to provide the most meaningful diagnostics and graphs at the click of a button. This allows you to develop accurate forecasts with increased confidence.

MetrixND User Group

Over 125 utilities, ISOs, municipals, cooperatives and other energy service providers use MetrixND. Licensed users have unique access to energy forecasting experts. Additional benefits include a quarterly newsletter that keeps you abreast of the latest forecasting techniques, and an annual meeting that brings you together with industry peers. Past issues of the MetrixND Newsletters are available on-line.

Call us at +31 20 60 65 225 or send an email to forecasting@itron.com for more information or to order your copy today.

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