Improve Python's Random Forest Algorithm in the Intelligent Construction of Digital System in Power Grid Enterprises

Abstract

Power grid enterprises play an important role in the development of national economy, with a large scale of management assets and high requirements for internal audit. In order to meet the increasing requirements of power grid enterprises for internal audit, the internal audit work on the one hand should actively use information means to carry out digital audit, on the other hand, it is necessary to cooperate with business activities to conduct industrial audit integration, so as to better play the function of internal audit. This paper aims to study the intelligent construction of the improved Python random forest algorithm in the digital system of power grid enterprises. This paper takes the context of digital transformation, First of all, focusing on the literature research of power supply service level, digital transformation and digital practice, Clarifying the research focus, direction, and content of this study, Secondly, around the concept of power supply service and enterprise digital transformation, To study the theoretical basis of service characteristics, service leading logic, service package, service quality measurement and so on, Laid the foundation for the status of power supply service level of A power grid enterprises, Then conduct research for A power grid enterprise customers and internal personnel, Summarize the problems existing in the power supply service, And to analyze the causes of the problems found in the investigation, Four reasons are identified, They are that the service platform operation lacks Internet thinking, the service evaluation mode is more conservative, the customer management mode is not scientific, and the employee allocation mode is not scientific, Then we proposed 10 strategies from the two aspects of optimizing existing services and developing value-added services, Including improving the operation level of the service platform, improving the business model of responding to customer needs, optimizing the power supply service feedback and evaluation system, narrowing the gap in regional power grid services, and actively connecting with digital government requirements, As well as the establishment of customer maintenance service system, to create a new energy vehicle service ecology, to provide comprehensive energy services, to explore the financial attributes of power commodities, to increase the administrative disclosure of agent power purchase business. Finally, the safeguard measures are put forward for the strategy implementation, and the corresponding measures are formulated from four aspects: enterprise organization guarantee, digital talent guarantee, compliance guarantee and system guarantee