Snigdha Chaturvedi

A Novel Weighted Composite-Objective-Based Evolutionary Framework for PID-Based Temperature Control of Nonlinear CSTR Systems

Error minimization alone is insufficient for industrial process control. This article develops a weighted composite-objective evolutionary optimization scheme for regulating the temperature of a nonlinear, jacket-equipped continuous stirred-tank reactor (CSTR) using a PID control...

Short-term load forecasting using artificial neural network and linear regression across multi-city smart grid dataset

Abstract Smart grid activities demand a remedy to stability and economic problems and Short-term load forecasting (STLF) can provide some of the basic methods to deal with them. The traditional forecasting models that are found in literature flounder about localised and region sp...