Helping electric retailers, wholesalers, and end users improve business through reasonable back office costs and risk management.



Retail Energy Back Office, LLC
610 Phoenix Drive
Ann Arbor, Michigan 48108

Phone: 734-973-8987
Toll Free: 866-860-1398
Fax: 724-477-5490

Stand Alone Products for Energy Retailers



Savings analysis model

Compares end user electric costs using historic monthly usage, historic utility rates and retailer rates to determine savings from electric choice.

The key to any savings analysis model is complete and accurate information. Our utility rate database contains complete and detailed billing determinants for many utility rates. We handle the idiosyncrasies of utility rates and maintain up to date histories, so the user need only enter monthly usage and retailer prices.

Uses:

  • Regular or Ad Hoc customer reports.
  • Value added information on monthly bill.


Retail pricing model

Compares end user electric costs using projected or historic monthly usage, current or projected utility rates, desired margins and wholesale prices to establish a retail price.

Uses:

  • Set retail prices and price structure for customers.
  • Determine target markets using standard customer segment load shapes.


MVWeb scraping

Automatically downloads MVWeb data and populates a database.

Our system automates the complex and time consuming MVWeb data acquisition process so that any user or retailer may benefit from it's use. Once the user enters a list of MVWeb sites, IDs, and passwords, and tells the system how frequently to download data and where to store it, the system takes over keeping your interval data up to date. If the MVWeb site is down or slow because of heavy use, the system keeps trying until the data is acquired.

Uses:
  • Retail pricing.
  • Load shape aggregation for wholesale pricing.


Standard load shapes

Portfolio of over 80 standard load shapes based on business types (SIC codes). (Michigan only).

This product allows conversion of monthly utility billing data to hourly load shapes using load profiles that are more business specific than utility standard shapes. A key feature of our load shape package, is a "rosetta" stone that relates most 4 digit SIC Codes to one of the 80 load shapes. This is particularly valuable in the non-manufacturing arena, where there are thousands of SIC Codes but 24 load shapes.

Uses:

  • Use in customer savings or retail pricing models where interval detail is lacking
  • Forecasting


Weather sensitive load equations

Equations based on historic interval data for a group of facilities.
Custom load shape equations based on your interval data and local weather conditions.
Refined load shaping for forecasting and pricing.
Reduces imbalance costs by capturing weather effects in scheduling forecasts.

Uses:

  • Forecasting