Load shape and demand forecasting at Alabama Electric Cooperative
Technical Report
·
OSTI ID:103290
- Burns & McDonnell, Kansas City, MO (United States)
- Alabama Electric Cooperative, Andalusia, AL (United States)
Alabama Electric cooperative`s (AEC) load forecasting process has historically been based on long-term econometric energy sales forecasts, with peak demand being forecast through load factor and coincidence factor analysis. The adequacy of this approach was brought into question after extreme weather conditions in the winter of 1989 and the summer of 1992 resulted in peak demands that exceeded the forecasts. Burns & McDonnell and AEC developed a PC-based computer program called UtiliSHAPE{trademark} that was used to develop a long-term hourly demand and load shape forecast for AEC for the different seasons and days of the week. This paper describes the forecast developed for AEC with the UtiliSHAPE{trademark} software.
- Research Organization:
- Electric Power Research Inst., Palo Alto, CA (United States); Pacific Consulting Services, Albany, CA (United States)
- OSTI ID:
- 103290
- Report Number(s):
- EPRI-TR--105012; CONF-930969--
- Country of Publication:
- United States
- Language:
- English
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