The evolution of an expert DSS for electric utility load research

The evolution of an expert DSS for electric utility load research

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Article ID: iaor19881053
Country: United Kingdom
Volume: 16
Start Page Number: 247
End Page Number: 256
Publication Date: Mar 1989
Journal: Computers and Operations Research
Authors: ,
Keywords: statistics: sampling, artificial intelligence: expert systems
Abstract:

Load research conducted by electric utility companies is an activity embracing the measurement and study of electrical load to understand the trends and behavior of electric utility consumption. The results of load research are major determinants in rate design and capacity planning for the electric utility company. Accurate load research is imperative for a well managed electric utility. The information base used in load research consists of customer billing data and sample data collected under strict guidelines set by the Public Utilities Regulatory Policies Act. Selection of appropriate sampling procedures is a central function of load research. This paper describes the evolution of an integrated expert decision support system (XDSS) for load research sample design. It is an exploratory system that has a potentially large impact on the profitability of electric utility companies. It was the result of a consulting project begun 4 years ago with a medium sized utility company. Much of the underlying statistical sampling methodology in the XDSS had to be newly derived to meet the specific needs of sampling in load research.

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