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Overview

This page introduces Suite — the combined application that integrates Apollo with other utilities, such as bid and database management tools.

  • What Suite is: integrates Apollo with bid and database management tools to support iPool and Apollo market analysis for the Wholesale Electricity Spot Market (WESM)
  • iPool: processes historical and forecasted market data for WESM-specific modeling, including five-minute and hourly dispatch simulations, energy and reserve price analysis, demand and duck curve tracking, and what-if studies
  • Apollo: complements iPool with enhanced, interactive visualizations and workflow control; organizes market data through structured object hierarchies (Pool, Region, Site, Unit, Link, Storage) and offers comprehensive charting including Fuel Stacks, BidStacks, and Net Load charts

Introduction​

Suite is the combined application that integrates Apollo with other utilities, such as bid and database management tools. iPool and Apollo are market analysis tools designed to support historical analysis, forecasting, simulation, visualization, and decision-making for the Wholesale Electricity Spot Market (WESM). iPool focuses on processing historical and forecasted market data for WESM-specific modeling, including five-minute and hourly dispatch simulations, energy and reserve price analysis, demand and duck curve tracking, and what-if studies involving weather conditions, supply availability, bidding behavior, outages, and network constraints.

Apollo complements iPool by providing enhanced, interactive visualizations and workflow control for analysts and decision-makers. It organizes market data through structured object hierarchies such as Pool, Region, Site, Unit, Link, and Storage, and offers a comprehensive charting suite that includes Fuel Stacks, BidStacks, Net Load charts, and statistical boxplot views across 24-hour intervals to show load shapes and price volatility.

Key Capabilities​

Suite supports the following core activities:

  • Historical Load — import and replay past market data to recreate actual market conditions and establish a simulation baseline
  • Backcasting and Calibration — model historical load outcomes and refine the Reserve Calibration Factor to improve forecast accuracy
  • What-If Scenarios — evaluate market dynamics under modified conditions such as unit outages, demand scaling, transmission constraints, or renewable generation changes
  • Bid Generation — prepare Historical, Typical, Custom, and Dynamic bid inputs for use across all simulation types

These capabilities are covered in detail across the remaining sections of this onboarding guide.