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Review average weather history

The Average Weather History screen is used to review historical average daily weather metrics for a selected weather zone. It provides day-level averaged temperature and degree-day values that are used as foundational inputs for load profiling, demand forecasting, and degree-day–based calculations within nGenue.

This screen allows users to analyze long-term normalized weather patterns and validate the historical averages that drive downstream load profile and forecast calculations.

The Average Weather History screen enables users to:

  • Review historical average high and low temperatures by day of year.
  • Analyze heating and cooling degree day (HDD/CDD) averages.
  • Validate weather data used in load profile and forecast calculations.
  • Support degree-day–based demand modeling and analytics.
  • Ensure consistency and transparency of weather inputs across calculations.

Prerequisites

Before reviewing the Average Weather History screen, ensure the following prerequisites are met:

  • The user has view or modify permissions for the Average Weather History screen.
  • Weather zones are configured and active in nGenue.
  • Historical weather data is available for the configured weather zones.
  • Degree day calculation parameters (base temperatures) are defined in the system.

Procedure to review average weather history

Step 1: Navigate to the Average Weather History screen

  1. Log in to the nGenue application.
  2. Click the Search icon and enter Weather in the search bar.
  3. Double-click Average Weather History to open the Average Weather History (Volume Management) screen. average_weather_1
  4. The screen is divided into the following sections:
    1. Weather Zone Query: This section is used to define which historical weather averages are loaded.
    2. Average Weather Details: This section displays historical average weather values organized by day of year. Each row represents a specific calendar day, with values averaged across historical years.

Step 2: Select weather zone and load averages

  1. In the Weather Zone Query section, select the weather zone for which average historical weather data should be reviewed. Weather zones typically represent geographic regions used for load profiling and forecasting.

  2. Click Load Weather Zone Averages. average_weather_1

  3. This loads historical average weather data into the Average Weather Details grid.

Step 3: Review average weather details

The Average Weather Details section displays historical average weather values organized by day of year. Each row represents a specific calendar day, with values averaged across historical years.

Fields Description
Day of Year Sequential day number within the calendar year (1–365 or 366). This field is used to align weather data with load profile calculations independent of year.
Date Calendar date corresponding to the day of year (for example, January 1, February 15). This is a reference label and does not represent a specific year.
Avg High Average historical daily high temperature for the selected weather zone on this day of the year. This value is derived from multiple years of observed data.
Avg Low Average historical daily low temperature for the selected weather zone on this day of the year.
Avg HDD Average Heating Degree Days for the day, calculated using the configured HDD base temperature. HDD values represent heating-driven demand sensitivity.
Avg CDD Average Cooling Degree Days for the day, calculated using the configured CDD base temperature. CDD values represent cooling-driven demand sensitivity.

Key points

  1. Weather zones must be configured before averages can be reviewed.
  2. Values are historical averages, not actual daily weather.
  3. HDD and CDD values depend on configured base temperatures.
  4. Day-of-year indexing ensures consistent alignment with load profiles.
  5. This screen is read-only and analytical in nature.
  6. Accuracy of this data is critical for downstream load and forecast calculations.

Summary

The Average Weather History screen provides a transparent and normalized view of historical average weather conditions by day of year for a selected weather zone. By exposing average temperatures and degree-day values in a structured, review-focused format, this screen ensures confidence in the weather inputs used for load profiling, forecasting, and demand analytics.