A Combined Methodology of Adaptive Neuro-Fuzzy Inference System and Genetic Algorithm for Short-term Energy Forecasting

A Combined Methodology of Adaptive Neuro-Fuzzy Inference System and Genetic Algorithm for Short-term Energy Forecasting

This document presents an energy forecast methodology using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithms (GA). The GA has been used for the selection of the training inputs of the ANFIS in order to minimize the training result error. The presented algorithm has been install...

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Bibliographic Details
Main Authors: KAMPOUROPOULOS, K., ANDRADE, F., GARCIA, A., ROMERAL, L.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2014-02-01
Series:Advances in Electrical and Computer Engineering
Subjects:
adaptive neuro-fuzzy inference system
energy forecast
genetic algorithm
intelligent energy management systems
Online Access:http://dx.doi.org/10.4316/AECE.2014.01002

Internet

http://dx.doi.org/10.4316/AECE.2014.01002

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