Forecasting electric demand of distribution system planing in rural and sparsely populated regions

Journal Article · Wed Nov 01 04:00:00 EST 1995 · IEEE Transactions on Power Systems

DOI:https://doi.org/10.1109/59.477100· OSTI ID:160619

Willis, H L; Buri, M J ^[1]; Finley, L A ^[2]

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1. ABB Automated Distribution Div., Raleigh, NC (United States)
2. Snohomish County PUD, Everett, WA (United States)

Modern computerized distribution load forecasting methods, although accurate when applied to urban areas, give somewhat less satisfactory results when forecasting load growth in sparsely populated rural areas. This paper examines the differences between rural and urban load growth histories, identifying a major difference in the observed behavior of load growth. This difference is exploited in a new simulation forecasting algorithm. Tests show the new method is as accurate in forecasting rural load growth and as useful for analyzing DSM impacts than past methods, while requiring considerably lower computer resources and data than other simulation methods of comparable accuracy.

• OSTI ID: 160619
• Report Number(s): CONF-950103--
• Journal Information: IEEE Transactions on Power Systems, Journal Name: IEEE Transactions on Power Systems Journal Issue: 4 Vol. 10; ISSN 0885-8950; ISSN ITPSEG
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
29 ENERGY PLANNING, POLICY, AND ECONOMY
COMPUTER CALCULATIONS
FORECASTING
LAND USE
PLANNING
POWER DEMAND
POWER DISTRIBUTION SYSTEMS
REMOTE AREAS
RURAL AREAS