DocumentCode
1039846
Title
Forecasting Annual or Seasonal Peak Demand in Electric Utility Systems
Author
Stanton, K. Neil ; Gupta, Pradeep C.
Author_Institution
Purdue University
Issue
5
fYear
1970
fDate
5/1/1970 12:00:00 AM
Firstpage
951
Lastpage
959
Abstract
Of the several methods for annual (or seasonal) peak- demand forecasting being used, or under development, by electric utility companies, some are more suitable for probabilistic forecasts than others. This paper reviews six possible approaches to peak-demand forecasting but places greatest emphasis on probabilistic monthly or weekly peak demand forecasting and the derivation of annual peak forecasts from monthly or weekly forecasts. An introduction to the use of stochastic models for demand forecasting is also included.
Keywords
Capacitors; Circuits; Conductors; Demand forecasting; Economic forecasting; Extrapolation; Power generation economics; Power industry; Power transmission; Power transmission lines;
fLanguage
English
Journal_Title
Power Apparatus and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9510
Type
jour
DOI
10.1109/TPAS.1970.292658
Filename
4074153
Link To Document