Joint Modeling Analysis of Production and Operation Indicators for Power Grid Enterprises

Abstract

Production and operation management is an important means of resource integration, allocation, coordination, and utilization in power grid enterprises. At present, there have been significant changes in the operating environment and profit models of power grid enterprises. The external situation is becoming increasingly severe. Production and operation are subject to multiple constraints. This article introduces production and operation indicators and exogenous factor indicators, considering the random differences of each individual, and constructs a longitudinal data joint model. Use joint models to predict and analyze production and operation indicators. The empirical research shows that the joint model takes into account the correlation between indicators and the difference between individuals, which is superior to the single model in structure, and has better accuracy and dynamics in prediction.