Driven by a trend towards renewable forms of generation, in particular wind, the nature of power system operation is changing. With respect to wind power, the uncertainty of the wind becomes an issue which must be considered. Through the use of wind forecasting, this uncertainty may be managed. The error inherent in forecasting will impact system reliability and cost as will inaccuracies in ass...

With the prevalence of computer and development of information technology, Geographic Information Systems (GIS) have long used for a variety of applications in electrical engineering. GIS are designed to support the analysis, management, manipulation and mapping of spatial data. This paper presents several usages of GIS in power utilities such as automated route selection for the construction o...

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) tuning algorithm to improve their approximation capability, flexibility and adaptiveness. IT2FL for STELF is presented which provides additional degrees of freedom for handling more uncertainties for improving prediction a...

An accurate safety stock forecasting model has both academic and practical significance to inventory management. Reliable safety stock forecasting can not only help in making right decision but also in decreasing the cost and thereby increasing the profit significantly. Therefore in this paper, Artificial Neural Network (ANN) along with Clustering techniques, have been applied to predict the sa...

Crude oil cost plays very important role in the country’s economic growth. It is having close impact on economical stability of nation. Because these reasons it to have accurate forecasting system. Due different factors data highly nonlinear and fluctuated manner. Performing prediction those using driven approaches complex task which require lots preprocessing data. Working such a non-stationar...