Pilot Study for Optimization Strategy for A Smart Monitoring and Alert Energy Consumption Ensemble: A Case of Enhanced Security
Abstract
There is today, a global shift caused by digital revolution for energy use efficiency,
optimization, and consumption via its consequent adoption of sensor units for
optimal-fit, and effective management solutions that will in turn – ripple across the
society as its outcome, improved performance with reduced consumption as a new
norm. Sensor-based units are eco-friendly with environ, consumption, health and
regulation issues that replace traditional solutions with improved quality. We
advance a sensor-design to observe societal condition associated with energy
consumption in home appliance. It utilizes machine learning to analyze total
energy consumed by each appliance and delivers optimal consumption that
reduces energy waste. System as tested across multiple features to handle
expansive input without delay or data losses – yielded the desired effectiveness,
reliability, and efficiency; And affirm its performance stability even with more
device connected.
