Title :
Design and Implementation of An on-Line Load Forecasting Algorithm
Author :
Krogh, B. ; de Llinas, E.S. ; Lesser, D.
Author_Institution :
Westinghouse Electric Corporation Industry Systems Division
Abstract :
This paper presents a short-term load forecasting algorithm for Energy Control Center applications. Regression techniques are combined with Auto Regressive Integrated Moving Average (ARIMA) models to produce hourly MW load values for the upcoming seven days. Results of several studies are discussed along with a description of the on-line implementation.
Keywords :
Algorithm design and analysis; Design engineering; Humidity; Least squares methods; Load forecasting; Power engineering computing; Power systems; Temperature; Weather forecasting; Wind forecasting;
Journal_Title :
Power Apparatus and Systems, IEEE Transactions on
DOI :
10.1109/TPAS.1982.317536
