Title :
Adaptive Short-Term Forecasting of Hourly Loads Using Weather Information
Author :
Gupta, Pradeep C. ; Yamada, Keigo
Author_Institution :
uthern California Edison
Abstract :
A comprehensive computer-oriented procedure for Probablistic forecasting of hourly power-system loads with lead times of 1 to 24 hours is described. The forecasts produced are based on both historical load data and information from the latest weather forecast. The methodology combines stochastic load models and adaptive weather- load models optimally to yield an adaptive forecasting procedure especially suited for real-time control of power systems.
Keywords :
Adaptive control; Load forecasting; Load modeling; Power system control; Power system modeling; Predictive models; Programmable control; Real time systems; Stochastic systems; Weather forecasting;
Journal_Title :
Power Apparatus and Systems, IEEE Transactions on
DOI :
10.1109/TPAS.1972.293541
