OPTIMIZATION OF INDUSTRIAL ENERGY CONSUMPTION FOR SUSTAINABILITY USING TIME-SERIES REGRESSION AND GRADIENT DESCENT ALGORITHM BASED ON HISTORICAL ELECTRICITY CONSUMPTION DATA

Optimizing electricity consumption to minimize wastage and reduce cost is a major challenge in many industries.This is because, in many cases, the effect of the independent variables contributing to the total electricity consumption and cost are latent.The purpose of this study is to apply numerical techniques to identify and optimize these indepen

In this paper, we present a new methodology for the reconstruction of individual life-histories based on Military Airplane information derived from the integration of different parish registers.This methodology makes it possible to associate the sequence and timing of demographic events not only with the structural features of the households in whi

The broad objective of this study is to empirically estimate the export supply model of Bangladesh.The techniques of cointegration, Engle-Granger causality and Vector Error Correction are applied to estimate the export supply model.The econometric Stools analysis is done by using the time series data of the variables of interest which is collected

In many powder handling operations, inhomogeneity in powder mixtures caused by segregation could have significant adverse impact on the quality as well as economics of the production.Segregation of a minor component of a highly active substance Fitness could have serious deleterious effects, an example is the segregation of enzyme granules in deter