Accurate forecasting of energy consumption, renewable power output and utility expenditure is essential for sustainable planning of residential buildings and improving smart grid integration. This study presents several techniques such as random forest, gradient boosting regression, extreme gradient boosting, deep beli...
T. Adefarati, Gulshan Sharma, P. Bokoro et al.· Energies· 0 citations
Electric vehicle consumption prediction is essential for improving route planning, charging management, and battery utilization. Although machine learning approaches have shown promising capability in prediction, the majority of the existing research mostly emphasizes point prediction, providing limited model interpret...
Priyanka Raturi Semwal, Sachin Sharma, P. Thakur et al.· World Electric Vehicle Journ...· 0 citations
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 controller. Such reactors exhibit strong nonlin...
Snigdha Chaturvedi, K. Gandhi, N. Saxena et al.· Mathematics· 0 citations
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