Title :
A STLF in distribution systems - A short comparative study between ANFIS Neuro-Fuzzy and ANN approaches - part II
Author :
Rafael, S. ; Santos, P. ; Lobato, P. ; Pires, A.J.
Author_Institution :
Dept. of Electr. Eng. at ESTSetubal, Polytech. Inst. of Setubal, Sebutal
Abstract :
This paper present a comparative study between ANFIS, neuro-fuzzy (NF) and artificial neural network (ANN) approaches, applied to STLF algorithm (one hour ahead). Distribution networks need reliable short-term load forecast. The STLF algorithms associated with network management, as load dispatch and network reconfiguration, under quality of service constraints, improves the maintenance issues and eventual power purchase decisions within liberalized electricity markets.
Keywords :
distribution networks; fuzzy set theory; load dispatching; load forecasting; neural nets; power engineering computing; power markets; power system management; quality of service; artificial neural network approaches; distribution networks; distribution systems; load dispatching; markets; network management; neuro-fuzzy approach; power purchase decisions; quality of service constraints; short-term load forecast; Artificial neural networks; Electricity supply industry; Energy management; Load forecasting; Load management; Maintenance; Noise measurement; Power system reliability; Quality management; Quality of service; Artificial neural network; Consumption trend; Electrical distribution network; Neuro-fuzzy; Short-term load forecast;
Conference_Titel :
Power Engineering, Energy and Electrical Drives, 2009. POWERENG '09. International Conference on
Conference_Location :
Lisbon
Print_ISBN :
978-1-4244-4611-7
Electronic_ISBN :
978-1-4244-2291-3
DOI :
10.1109/POWERENG.2009.4915183
