Forecasting Annual or Seasonal Peak Demand in Electric Utility Systems
- 1 May 1970
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Apparatus and Systems
- Vol. PAS-89 (5) , 951-959
- https://doi.org/10.1109/tpas.1970.292658
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
This publication has 5 references indexed in Scilit:
- The Relationship Between Summer Weather and Summer Loads - A Regression AnalysisIEEE Transactions on Power Apparatus and Systems, 1966
- On the Optimality of Adaptive ForecastingManagement Science, 1964
- Some Observations on Adaptive ForecastingManagement Science, 1964
- Load Forecasting on the TVA System Par I-Substation LoadsTransactions of the American Institute of Electrical Engineers. Part III: Power Apparatus and Systems, 1962
- Forecasting the Demand for Electricity [includes discussion]Transactions of the American Institute of Electrical Engineers. Part III: Power Apparatus and Systems, 1955