
This research presents an intelligent control algorithm to improve the energy efficiency of parallel centrifugal pumping systems, widely used in industrial and municipal applications. Parallel pumping systems are vital for handling variable flow demands and ensuring operational reliability. However, conventional control methods often lead to energy inefficiencies due to suboptimal operation and static control mechanisms.
Parallel pumping systems, intelligent control, energy efficiency, machine learning, IT, adaptive algorithms, predictive maintenance, operational stability, real-time monitoring, scalability.
Parallel pumping systems, intelligent control, energy efficiency, machine learning, IT, adaptive algorithms, predictive maintenance, operational stability, real-time monitoring, scalability.
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