The generic Dominion Energy Virginia and generic Dominion Energy North Carolina customer class load profiles provide energy suppliers with important information on typical load profiles for specific classes of customers. The profiles may be helpful in preparing daily pre-scheduled loads. The profiles represent the average customer's usage pattern within that specific class and are based on annual load research class studies.

Customer class profiles are categorized as one of:

• Weather Sensitive Profiles
• Historical Julian Profiles
• Julian Lookup and Deemed Profiles

For customer classes that show a correlation between temperature and load, a weather response profile is provided. Hourly profiles are provided by season and day type. (The definitions for seasons and holidays are found at the end of this section.) Each hour will have two or more profile algorithms based on temperature ranges (T-min and T-max). Customer load is made up of some combination of base load and weather responsive load:

Base load

Plus (degrees Fahrenheit X Temp. variable)
Plus (relative humidity X RH variable) – optional for summer season only
Plus (wind speed MPH X Wind variable) – optional for winter season only

Equals Total predicted load in kW

Base load represents base usage that is expected regardless of temperature, such as lighting and certain appliances. The weather responsive component represents comfort conditioning and other temperature sensitive load(s) and will have an increasing impact as temperatures move toward extremes. Wind speed in the winter and humidity in the summer will make modest contributions to predicted load.

Suppliers must obtain forecasted temperature, humidity, and wind speed to prepare their forecasted load (or they may utilize an advisory load forecast provided by Dominion Energy.) Dominion Energy provides the temperature, wind and humidity variables in the appropriate weather sensitive profile spreadsheets.

Example of partial spreadsheet:

Generic RESVA Profile

Fall Season Three Day Type (Weekday, Saturday, Sunday)

Calculation:

• Select the customer group to be profiled (in this example “RESVA”), then select the appropriate season/day type (in this example “Fall Saturday”) and then select the desired hour (in this example hour 1.) Note that hour 1 is for the time between midnight and 1:00 AM.
• Look at the T-min and T-max ranges in that hour’s row and select the variables in that range for the forecast. This example of a partial sheet illustrates just the lowest temperature range. There will be additional columns in the complete sheet for higher temperature ranges. In this example, the forecast load will be:
  
  Forecast kW = 2.832374 + (temp)(-0.03856) + (Rel. Hum.)(0) + (Wind)(0)
  
  Assuming a temperature forecast of 49 degrees F at this hour, relative humidity of 20% and wind speed of 12 MPH, the formula predicts that the average customer will use:

Forecast kW = 2.832374 + (49)(-0.03856) + (.20)(0) + (12)(0)

= 2.832374 + (-1.88944) + (0) + (0)

= 0.942934

The following classes have weather responsive profiles. (Downloadable Profiles Page)

Residential – Virginia
GS1
GS2
Commonwealth of Virginia 5VA
Commonwealth of Virginia 6VA
County/Municipal – Virginia
Residential – North Carolina
SGS - North Carolina

Holiday Definition

The following holidays are observed by NERC and are used for profiling:

New Year's Day
Memorial Day
Independence Day
Labor Day
Thanksgiving Day
Day after Thanksgiving
Christmas Eve
Christmas Day

Definition of Seasons

For the purposes of load profiling, the seasons are defined as follows:

Summer - June 1 – August 31
Fall - September 1 – November 30
Winter - December 1 – February 28/29
Spring - March 1 – May 31

These profiles rely on time of year and day of week as the best predictor of customer load. The profiles may have a small degree of weather sensitivity that will be reflected in historical usage patterns, as you would expect. These profiles will contain a date and day of week label followed by the 24 hourly average energy values. To forecast the first non-holiday Monday in January, look up the first non-holiday Monday in January for the previous year. These classes use a Julian sort concept, mapped into the forecast year’s weekday/holiday matrix. (The definition of holidays is found in the previous section.)

The Church class is a good example of this type of profile. An historic Sunday or Wednesday will provide the best relative predictor of a future Sunday or Wednesday load for the same relative week of the year. In this way, comfort conditioning for either heating or cooling is also considered.

Other Generic Class Profiles listed here are normally forecast based on the individual customer’s interval data recorder. The Generic Class Profile will be referenced only in the rare case when a customer is so new that insufficient history exists to forecast their load.

The following classes have Historical Julian profiles: (Downloadable Profiles Page)

• Church

Generic profiles are provided but rarely used for the following classes:

• GS3
• GS4
• LGEMLP
• LGSNC
• MS

Lighting Profile
This deemed profile assumes about 4,000 hours annual lighting use for residential watch lights and street light customers. This profile is applied as a Julian date profile as the hours of darkness increase through the fall and the winter then decrease in the Spring/ summer. The profile consists of “0” when lights are deemed “off” and “1” when lights are deemed to be “on.” To develop a leap-year version of this file simply repeat the on/off pattern for February 28 for February 29.

FLATONE Profile
This deemed profile is used for loads that are considered to be regularly “on” all of the time, such as traffic control. This profile consists of all “1” for every hour. To develop a leap-year version of this file simply repeat the final row to create a 366th observation.

FLATZERO Profile
This deemed profile is used for loads that are forecast to be regularly “off” all (or nearly all) of the time, such as curtailable load and standby generation. This profile consists of all “0” for every hour. To develop a leap-year version of this file simply repeat the final row to create a 366th observation.

Please be aware that on September 18, 2003, the Dominion Energy service territory was hard hit by hurricane Isabel, producing widespread and extended outages. Power restoration was fully completed within two weeks.

Our Historic Profiles have been normalized by simply replacing the unusual "Isabel load" for September 18-October 1, 2003 with normal class load from September 11-17, 2003. When using any of the Historic Profiles provided below, you may use the data as presented, or you may choose to either weather normalize it using your own software, or to exclude the demand data from all or part of that time frame.

Profiles generated using the Weather Response Function (regression analysis) were prepared using historical load and weather data from January 1, 2000 through August 31, 2003, thereby excluding that unusual time period.

The profile for any customer with an interval data recorder, as required for billing, is developed from their specific customer load pattern. Only when a customer does not have any historical usage will they receive a generic profile as determined by the annual load research class studies. In this case, the assigned generic rate class profile is scaled to reflect the customer's actual usage as meters are read. Once the customer accumulates sufficient usage, its load profile will be used in forecasting and preliminary settlement. The customer's actual metered usage will always be used for final settlement.

It should be noted that non-jurisdictional and Commonwealth of Virginia tariffs are not provided due to their confidential nature. Also please note that the North Carolina profiles are provided for use by the default service provider.