Short Term Load Forecasting: A Review of Improved Exponential Grey Smoothing Method, Ann & Fuzzy Logic Methods

##plugins.themes.academic_pro.article.main##

Opanweze Chioma Cynthia
Godwin Aboi
Sadiq Thomas

Abstract

Short term load forecasting techniques have been used extensively over the years, and have produced effective results. Generation, transmission and the distribution companies make use of load forecast data to plan their day to day operation. This paper takes a look at the improved exponential grey smoothing method, artificial neural network (Ann), and the fuzzy logic method. Some of the works under this method were also reviewed, and the uniqueness of each method was described.

##plugins.themes.academic_pro.article.details##

How to Cite
Cynthia, O. C., Aboi, G., & Thomas, S. (2020). Short Term Load Forecasting: A Review of Improved Exponential Grey Smoothing Method, Ann & Fuzzy Logic Methods. The International Journal of Science & Technoledge, 8(6). https://doi.org/10.24940/theijst/2020/v8/i6/ST2005-019