Price Forecasting

• Creates, maintains and manages price forecasts for multiple energy and commodity markets and for multiple forecasts within each market.
• Price scenario modelling can be based on market dynamics such as price volatility, interest rates and CPI.
• Price analysis.
• ‘What if’ and ‘goal seeking’ modelling.
• Generates price forecasts for the Hubs, financial markets, other commodity markets, area (nodes, regions, states and countries) and trade books.
• Incorporates modelling, testing, reporting and data import and export functionality.
• Contains modelling functionality that allows for the manipulation and manual input of price data to simulate different and multiple scenarios and conditions
• Modelling functionality analyses historical and forecast price and demand data, financial and economic indicators, system dynamics, the competitiveness of individual generators and transmission facilities.
• Reformats imported data for internal validation purposes and can map exporting data to match external system and body requirements.
• Able to set parameters within the system for validation purposes.
• Stores multiple anticipated pool price tracks representing price volatility.
• Able to automate processes by setting date and time parameters.