The hybrid ensemble model accomplished the highest forecasting accuracy of the electricity bill with MAE, RMSE, MSE, MASE and R2 of 0.97978 when compared to other models.
T. Adefarati, Gulshan Sharma, P. Bokoro et al.· Energies· 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
Transmission congestion has become a major challenge in deregulated power systems (DPS). Although flexible AC transmission system (FACTS) devices are effective for congestion management, their high installation cost and complex control requirements limit widespread deployment. This paper proposes a battery energy stora...
Anurag Gautam, Gulshan Sharma, P. Bokoro et al.· Applied Sciences· 0 citations
Experimental results demonstrate that the proposed model achieves high detection accuracy, strong discriminative capability, and low false alarm rates across both datasets, confirming its effectiveness and scalability for next-generation cybersecurity applications.