AN ENERGY-EFFICIENT HOME AUTOMATION SYSTEM USING INTERNET OF THINGS
Keywords:
Smart Home, IoT, Energy Efficiency, Home Automation, Machine Learning, Smart Sensors, Renewable Energy, Cyber security, Smart Meters, Remote AccessAbstract
An IoT-based smart home control system that saves energy and makes life easier for users is the focus of this research. Using cloud computing, smart sensors, and actuators, the technology monitors and controls home appliances in real-time. The Internet of Things paves the way for automated systems that respond to changes in the surrounding environment and human actions in order to lower power usage. In order to improve efficiency, machine learning algorithms try to forecast how much energy will be used in the future. With the ability to access it remotely through mobile apps, it gives users independence and peace of mind. Smart meters enable energy conservation by providing users with timely feedback. For our own existence, we need to switch to renewable energy sources. The home's automatic lighting, climate control, and security systems all contribute to its lower energy consumption. The research looks at how affordable, scalable, and compatible IoT devices are. Preventing unauthorized access by individuals is the goal of cybersecurity measures. By adapting to different living conditions, the suggested method improves energy efficiency. Energy conservation and an enhanced user experience are highlighted in case studies. Improving optimization through AI improvements is the focus of future research. Sustainable smart home solutions are made possible by the Internet of Things, according to the results.
