2 Years Impact Factor:
2.85
5 Years Impact Factor: 1.53
Author: Roshni Kumari, Y Venkata Sai Vaishnavi, Syeda Adeeba Qadri, Mr. J. Raj Karkee,
Abstract:
understanding energy consumption patterns is pivotal not only for Smart homes, equipped with advanced sensors and automation systems, offer significant potential for optimizing energy consumption and enhancing user comfort. In this study, we investigate the intricate relationship between weather patterns and energy consumption in smart homes. The dataset comprises 4.5 months of detailed information, including temperature and humidity data collected through ZigBee wireless sensor networks, as well as energy consumption records obtained from m-bus energy meters. Additionally, weather data from the nearby Chievres Airport in Belgium has been integrated with the experimental data, allowing us to analyse how external environmental factors impact energy usage within the home. In conventional energy management systems, energy consumption patterns are often based on historical data and predefined schedules, lacking the adaptability required to respond to changing weather conditions. Thi
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