Developing Internet of Behavior Approach in Smart Grids for Optimal Parking Lots Allocation Problem

Growing developments in technology have paved the way for increased utilization of sensor networks in smart grids. Particularly, the smart meter is one of the main infrastructure which utilizes the Internet of Things (IoT) technology and bidirectional communication. Internet of Behavior (IoB) is an extension of the IoT and can be considered as amalgamation of technology, data analytics and behavioral science. The electricity consumption pattern depends on the people's behavior, thus screening the customers, including consumers and prosumers, in the smart grids using the IoB technology has a crucial impact on the security and reliability of the electricity networks in the smart city. This paper aims to introduce and unveil a new paradigm in the smart grids for exploiting the extracted behavior of the smart grid player in improving the efficiency and performance of the network. Our findings demonstrate how the IoB technology can help the decision-makers in the smart grids to use big data analysis for determining the behavior of the players. New trends and innovations related to the application of IoB in the smart grid environment for electrical vehicles are presented to trace the importance of determining their behaviors to reach a smarter system. In addition, different simulations have been studied to show the effectiveness of the proposed IoB-based approach to determine the size and location of electrical vehicle parking lots.