Using blinds, day-lighting, and geyser temperature settings to reduce electricity consumption and pricing patterns in energy-efficient buildings

Depending on the building architecture, usage, and energy consumption patterns, over US$ 60 billion was expended annually electric lighting in commercial buildings. Therefore, paper focuses development of energy-efficient buildings that minimize through integrated design processes. This can serve as a practical guide to lower requirements strategy reduce consumption. In this study, predictive analytics were used examine how blinds, daylighting, geyser temperature settings electricity pricing patterns. A panel expert judges validate 5-point Likert scale residential load management questionnaire gather survey data for statistical analysis Windhoek suburb, Namibia. The main goal study investigate day-lighting, be save energy, consumption, costs sustainable growth development. results from investigation indicate perfect Gaussian histogram 15 price jumps confirming four-way stepwise interaction effects. Optimal 0.5 Quetelet curve index offers average citizen efficiency awareness, education, behavior modification affordable electricity. Females generally set hotter temperatures are higher consumers. Blinds by 50% summer, 25% winter, day-lighting 25%. These least cost optimal solutions rising patterns problem. Adopting findings or outcomes could provide more thereby reducing pressure power grid.