Lean Principles And Simulation Application: A Case Study Of Infertility Hospital

Abstract

A growing number of people are interested in rooftop solar energy systems integrated with the electrical grid because of rising fuel prices, the global climate problem, and environmental damage. Modern metering systems, smart grid innovations, and energy management technology are seen as essential for encouraging energy conservation in houses. This work used three different meta-heuristic optimization techniques to schedule flexible loads in smart homes during ideal times. The goal was to minimize peak-to-average ratios and lower electricity costs while maintaining user comfort. The household system featured rooftop solar panels, a battery, and an inverter for effective energy generation and storage. The study developed a theoretical framework with an objective function and a load model to maximize the timing of appliance usage to save energy expenses. The optimized load scheduling in the simulation results verified these tactics and led to a decrease in power expenses. The three optimization strategies showed similar levels of performance.