Title :
Weekdays Load Forecasting in Mexico Using Artif1cial Neural Networks
Author :
Ortiz, V.H. ; Narvaez, C.
Author_Institution :
Dept. of Mech. Electr., Guadalajara Univ.
Abstract :
A wide area network (WAN) is the set of components interconnected in a power system. A WAN is operated in the control center, where operators are taking manual action on real time and engineers are attending offline tasks for obtaining necessary guidelines. The automatic generation control (AGC) makes possible the balance between the generation and the load (A.J. Wood and B.F. Wollenberg, 1984) based on a load demand. By this reason an accurate load forecast is a key element in many decision-making activities at the control center. This paper describes a neural network load forecasting application to obtain an accurate prediction of WAN real power, with lead times ranging from one to seven days ahead
Keywords :
decision making; load forecasting; neural nets; power engineering computing; power system interconnection; wide area networks; Mexico; WAN; artificial neural networks; automatic generation control; decision-making activities; power system interconnection; weekdays load forecasting; wide area network; Load forecasting; Neural networks; Artificial Neural Networks; Automatic Generation Control; Energy Management; Load Forecasting;
Conference_Titel :
Transmission & Distribution Conference and Exposition: Latin America, 2006. TDC '06. IEEE/PES
Conference_Location :
Caracas
Print_ISBN :
1-4244-0287-5
Electronic_ISBN :
1-4244-0288-3
DOI :
10.1109/TDCLA.2006.311619
