Document Type

Conference Proceeding

Publication Date

Winter 1-25-2023

Abstract

Artificial Intelligence of Things (AIoT) is a relatively new technology that combines Artificial Intelligence and Internet of Things. IoT devices can be integrated into large-scale systems for many modern applications. This results in a large amount of collected data, which needs efficient, and intelligent data processing for optimal use. Data can be processed and utilized for problem solving, decision making, and data prediction using AI. AI can increase the value of IoT, while IoT can improve AI's intel-ligence and learning. However, there are many obstacles to AIoT implementation such as complexity, precision, and efficiency. This study focuses on AI-powered IoT devices, where machine learning and neural network algorithms are implemented on an IoT based smart home energy management system (SHEMS). The AI is used to predict the future power consumption of the SHEMS, and using that prediction, turns off one or more devices in order to reduce the overall consumption at the end of the month. The results demonstrate that the system can save the user a large amount of money at the end of the year by keeping the consumption below a certain threshold.

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