Title :
An advanced model for electric load forecasting
Author :
Nastac, Dumitru I. ; Ulmeanu, Anatoli Paul
Author_Institution :
Polytech. Univ. of Bucharest, Bucharest, Romania
Abstract :
The paper describes an extension of the adaptive retraining model applied for electric load forecasting. Previously, the retraining procedure was successfully used for different kinds of applications that includes industrial, biomedical of financial data. This time the data comes from the most important power suppliers at the national level. Several cases are analyzed in order to find suitable parameters for a useful implementation.
Keywords :
load forecasting; adaptive retraining model; biomedical application; electric load forecasting; industrial application; national level; power supplier; Adaptation models; Artificial neural networks; Data models; Forecasting; Load modeling; Predictive models; Training;
Conference_Titel :
Integration of Stochastic Energy in Power Systems (ISEPS), 2013 IEEE Workshop on
Conference_Location :
Bucharest
DOI :
10.1109/ISEPS.2013.6707942
