Integration and refinement of Electrical power acquisition and marketing based on the Internet of Things

In this age of rapid economic expansion and pervasive intelligence, intelligence collection regarding a country's energy grid is encouraged. The article proposes a system for gathering IoT device energy consumption data. Through investigating Power IoT and its connection to the Smart Grid, a data gathering system has three parts: smart metering, concentrators, and data management systems. The paper explains how the authors streamlined business processes by integrating the control terminal with the technical architecture and IT technologies underlying a cutting-edge cloud-based customer electrical power acquisition (EPA) construction. Electrical power acquisition and marketing based on the Internet of Things (EPAM-IoT) proposes a method to alleviate the major data center's processing, storage, and handling of massive amounts of data by leveraging the Internet of Things (IoT). By optimizing the local processing of information and timely data management, this architecture can assist in lightening the data transfer burden over the channel. The proposed approach takes into account multiple factors while determining performance. IoT application energy efficiency can be improved using the GA method. The outcomes were achieved via the C++ programming methodology. The simulations show that the proposed EPAM-IoT system, which consists of an IoT module, a cloud computing model, and improved learning performance, outperforms the state-of-the-art methods.