Multinodal load forecasting for distribution systems using a fuzzy-artmap neural network

Online Short Term Load Forecasting by Fuzzy ARTMAP Neural Network

This paper presents the application of Fuzzy ARTMAP neural network for evaluating on-line load forecasting in short term case. A new approach using artificial neural networks (ANNs) is proposed for short term load forecasting. To forecast loads of a day, the hourly load pattern and the maximum and minimum and average of temprature must be determined. To demonstrate the effectiveness of the prop...

Application of the Fuzzy ART&ARTMAP Neural Network to the Electrical Load Forecasting Problem

Short-Term Load Forecasting in Power Systems Using Adaptive Fuzzy Critic Based Neural Network

Load forecasting constitutes an important tool for efficient planning and operation of power systems and its significance has been intensifying particularly, because of the recent movement towards open energy markets and the need to assure high standards on reliability. Accurate load forecasting is of great importance for power system operation. It is the basis of economic dispatch, hydrotherma...

Building a Fuzzy Expert System for Electric Load Forecasting Using a Hybrid Neural Network

This paper presents the development of a hybrid neural network to model a fuzzy expert system for time series forecasting of electricc load. The hybrid neural network is trained to develop fuzzy logic rules andjind optimal inputloutput membership values of load and weather parameters. A hybrid learning algorithm consisting of unsupervised and supervised learning phases is used for training the ...

Automatic detection of epileptic spike using fuzzy ARTMAP neural network

The present paper attempts to introduce a new approach for the automatic detection of epileptic spikes in EEG signal which plays a vital role in diagnosing epilepsy. In this approach, we have detected and classified epileptic spikes by using extracted features and Fuzzy ARTMAP neural network. The performance of classifying system is evaluated by three criteria of sensitivity, selectivity and sp...