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

Advances in Electrical and Computer Engineering

KAMPOUROPOULOS, K. ; ANDRADE, F. ; GARCIA, A. ; ROMERAL, L..

关键词: adaptive neuro-fuzzy inference system;    energy forecast;    genetic algorithm;    intelligent energy management systems;   

DOI  :  10.4316/AECE.2014.01002

学科分类：计算机科学（综合）

来源: Universitatea "Stefan cel Mare" din Suceava

【 摘 要 】

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 installed and it is being operating in an automotive manufacturing plant. It periodically communicates with the plant to obtain new information and update the database in order to improve its training results. Finally the obtained results of the algorithm are used in order to provide a short-term load forecasting for the different modeled consumption processes.

【 授权许可】

Unknown