Modeling customer rate choice with REEPS. Final report
Technical Report
·
OSTI ID:453753
Electric utilities are embracing innovative rate structures as a key component of strategic marketing plans. Traditional rate designs have employed simplified models, and relied heavily on billing and load research data. This report documents a unique application of a traditional forecasting tool to the evaluation of customer acceptance of alternative rate structures in the residential sector. Through an EPRI tailored collaboration study, Kentucky Utilities Company (KU) and Regional Economic Research, Inc. (RER) utilized EPRI`S REEPS model to forecast KU`s residential all electric rate class. To accomplish this project, RER made several REEPS modeling enhancements, and developed an iterative modeling process that utilized the EPRI Forecasting Workstation. The project was originally designed to address a request from the Kentucky Public Service Commission, but ultimately provided key end-use market information to support utility marketing and pricing activities.
- Research Organization:
- Electric Power Research Inst., Palo Alto, CA (United States); Regional Economic Research, Inc., San Diego, CA (United States)
- Sponsoring Organization:
- Electric Power Research Inst., Palo Alto, CA (United States)
- OSTI ID:
- 453753
- Report Number(s):
- EPRI-TR--106552
- Country of Publication:
- United States
- Language:
- English
Similar Records
Household appliance choice: revision of REEPS behavioral models. Final report
Residential end-use load research forecasting and DSM planning at Missouri Public Service: Objectives, design, and data issues
Residential sector end-use forecasting with EPRI-Reeps 2.1: Summary input assumptions and results
Technical Report
·
Tue Jan 31 23:00:00 EST 1984
·
OSTI ID:5225907
Residential end-use load research forecasting and DSM planning at Missouri Public Service: Objectives, design, and data issues
Technical Report
·
Mon May 01 00:00:00 EDT 1995
·
OSTI ID:103258
Residential sector end-use forecasting with EPRI-Reeps 2.1: Summary input assumptions and results
Technical Report
·
Thu Nov 30 23:00:00 EST 1995
·
OSTI ID:451200