Interval Type-2 Fuzzy Neural Networks for Short Term Electric Load Forecasting: A Comparative Study

Abstract

This paper focuses on the study of short term load forecasting (STELF) using interval Type-2 Fuzzy Logic (IT2FL) and feed-forward Neural Network with back-propagation (NN-BP

New Method of Internal Type-2 Fuzzy-Based CNN for Image Classification

“…The fuzzy neural network (FNN) system framework implies the combination of fuzzy logic and neural network system ideas, which incorporates their benefits. This FNN is applied in several scientific and engineering areas, such as text sentient evaluation [28], object classification with small training database [3], emotion features extraction from text [29], comprehension of emotions in movies [30], real world objects and image classification [19,31], Marathi handwritten numerals recognition [32,33], traffic flow prediction [34], electric load prediction [35], and handwritten digits recognition [36]. Keller and Hunt [37] proposed hierarchical deep neural network fuzzy systems that obtain information from both fuzzy and neural representations.…”

Robust Fuzzy Control using the Type2 Distending Function

“…The main reasons for these uncertainties are: 1) The measuring device is imprecise; 2) Sensor noise adds to the measured signal; 3) The actuators have nonlinear characteristics which are not known; 4) The experts have different opinions about the consequent values. Type2 fuzzy sets are defined to handle such uncertainties [1], and they have numerous proven practical applications [2][3][4][5]. The performance of the fuzzy logic system (FLS) depends on the measured data.…”

Electrical Daily Load Forecasting In Ramadhan Using Type-2 Fuzzy Logic In Sulselrabar System

“…The Sulselrabar electrical system is used because, this system has been growing, and requires further study on load forecasting. Several previous studies have been conducted and show satisfactory results [9][10][11][12][13][14][15][16][17][18][19][20][21].…”