Intelligent Retrieval Method of Power System Service User Satisfaction Based on Human-Computer Interaction

Abstract

The definition of a general assessment of the efficiency of the power grid through an education test system is presented in this article. The paper expands an existing test scheme through the development of the requisite transmission and delivery networks. Major equipment such as generation, switching stations, transmission, and radial delivery networks within a functional framework has a comprehensive test system. Therefore, the trial machine is limited to analyzing reliability models and measurement methods using hand measurements or designing small computer programs. The overall reliability assessment of the power grid is to provide the customer with adequate service. This paper provides a basis for modeling and constructing intelligent and adaptive interfaces for Human-Computer Interaction In Power System Service Using A Genetic Algorithm (HCI-PS-GA). Integration of two-way connectivity and two-way power flow between utilities and customers turns the conventional infrastructure into an intelligent grid renowned for its intelligent grid (IG). IG is committed to ensuring reliability, flexibility, and sustainability. IG offers cyber threat and natural catastrophe surveillance, control, and endurance. It takes into account both storage and generation choices. The interfaces and their interaction styling framework play a vital role in the massive use of technology, search and explore multimodal, cloud system, adaptive, and intelligent interfacing styles of the next generation with good expression and natural characteristics for greater user acceptability, usability, and satisfaction which offers the accuracy rate of 89%.