Forecaster key features

Comprehensive set of forecasting models and features built on over 30 years experience

A variety of Forecasting modelling methods including:
- Neural Networks
- Multiple linear regression
- Multiple Non-linear piecewise regression with cross terms
- ARIMA (Auto Regressive Integrated Moving Average)
- Adaptive Combination, several model results are combined into one forecast
- Profiler - uses historical data to generate hourly/daily demand shapes
- Bayes
Scheduled forecasts and model training for unmanned operation
Configurable forecast horizon for short, medium or long term forecasts
The database includes a set of published Oracle views so that clients can use their own reporting tools to interrogate the Forecaster system
Hourly (profiles) or daily forecasts
Flexible definition of model input variables and input data streams
A powerful model configuration utility to specify model parameters, model specific settings, forecast horizons and data intervals
The ability to create individual and/or aggregate customer forecasts at customised portfolio or operational levels
The ability to account for special events such as bank holidays and known shutdowns
A variety of graphs and performance metrics showing forecast errors and performance against actual consumptions
Facility to export information to Excel