Title :
Intelligent hybrid load forecasting system for an electric power company
Author :
Lewis, Harold W., III
Author_Institution :
Dept. of Syst. Sci. & Ind. Eng., State Univ. of New York, Binghamton, NY, USA
Abstract :
The paper presents a system for day-ahead load forecasting as originally proposed to a regional electric power company. The company provided funding for developing most parts of this software. The system is based on a hybrid approach to intelligent systems design combining a fuzzy heuristic approach based on the knowledge of human experts in load forecasting with a data-driven neural network-based component. To make the system truly useful, considerable emphasis was placed on the user interface including a highly developed explanation module
Keywords :
explanation; fuzzy logic; heuristic programming; load forecasting; neural nets; power system analysis computing; data driven neural network based component; day-ahead load forecasting; electric power company; explanation module; fuzzy heuristic approach; human expert knowledge; intelligent hybrid load forecasting system; intelligent systems design; software; user interface; Fuzzy neural networks; Fuzzy systems; Humans; Hybrid intelligent systems; Intelligent networks; Load forecasting; Neural networks; Power engineering and energy; Power industry; Weather forecasting;
Conference_Titel :
Soft Computing in Industrial Applications, 2001. SMCia/01. Proceedings of the 2001 IEEE Mountain Workshop on
Conference_Location :
Blacksburg, VA
Print_ISBN :
0-7803-7154-2
DOI :
10.1109/SMCIA.2001.936723
