| dc.description.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. | en_US |
