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Computer-controlled system greatly accelerates the intelligent and info level of electric engineering & automatization realm. Electrical automation also provides a carrier and platform for the application of computer-controlled system. They accelerate each other and cooperate with each other, which has high research value. Based on this, this paper first analyses the process control of electric engineering & automatization, then studies the control framework and bus structure of computer-controlled system, and finally gives the design strategy of computer-controlled system utilization of electric engineering & automatization.

AI technology organically integrates the info and intelligent content of electronics, telecommunications, computer and other fields and disciplines, can achieve accurate control operation, reduce the dependence on human intervention, and greatly improve the intelligent level of these fields, so it has important research value. Based on this, this paper first analyses the AI automation control theory, then studies the electrical automation control based on AI technology, and finally gives the specific application strategy of AI in electrical automation control.

With the development of computer intelligence technology, it has brought new opportunities and challenges to the development of electrical automation control systems. This article mainly analyzes the automatic detection technology and the design of the electrical automation control system. It also studies the electrical automation control system.

With the improvement of information technology, China has continuously promoted the development of computer control system of electrical engineering and electrical automation in the current development process. In enterprise production, computer technology can be integrated into electrical engineering and electrical automation to realize real-time monitoring of controlled objects. Electrical engineering automation belongs to the field of modern electrical information, which is widely used in military, aerospace and industry. However, due to the late formation of China’s industrial system, there are still some problems in electrical engineering automation, resulting in serious energy consumption problems. In order to improve the application level of electrical automation control system and create greater benefits for enterprises and society, it is necessary to strengthen the application research of electrical engineering and automation computer control system. Based on the application status of computer control system in electrical automation, this paper discusses the application strategy of computer control system in electrical engineering and electrical automation to promote the further development of electrical engineering technology in China.

Electrical automation control system is a widely used system. With the development of computer technology, electrical automation control system and computer technology are combined to effectively improve the intelligence of electrical automation control. Electrical automation is also a very advanced technology.

Like the arrival of the Internet era, the era of artificial intelligence carries new hopes and new challenges, which is irreversible. It is a tool bearing the development of all walks of life. In the future in all industries are indispensable existence [1], will become a part of our side [1]. And the corresponding electrical automation control, it is now closely associated with our life, so can imagine that in the future, this and this will be closely linked, together become an inseparable part of our life.

With the development of large-capacity and high-parameter units, the degree of electrical automation in power plants is becoming more and more important. Due to the relatively backward technology of traditional electrical monitoring, it is more human monitoring, and the level of automation is low. Nowadays, communication network technology has been rapidly developed, and machinery and equipment have become more intelligent. These have laid a good technical foundation for the reform and innovation of electrical automation monitoring systems in power plants. This article first studies the development status of the electrical automation monitoring system, and then uses the fieldbus and Ethernet technology to carry out the configuration mode and construction of the electrical automation system. Then, this article designs the basic functions, advanced application functions and software parts of the system. Finally, this paper tests the running time and update function of the system dynamic module. The test result shows that the running time of the dynamic module meets the requirements of the system, and the update function is relatively fast.

Accurate power forecasting is critical for electrical automation within smart grids, enabling intelligent energy management to balance demand and supply. We propose a dual-stream hybrid model that processes multivariate time series data from the DKASC (solar generation) and IHEPC (household consumption) datasets through parallel Convolutional Neural Networks (CNNs) with spatial attention and Gated Recurrent Units (GRUs) with self-attention. This unified model captures cross-variable correlations (e.g., weather, power output) and long-term temporal dependencies to predict both generation and consumption, enhancing grid stability. Evaluated using RMSE, MAE, and MSE, our model achieves a 32–93% reduction in RMSE compared to baseline methods like RCC-LSTM and CNN-LSTM hybrids on DKASC and IHEPC datasets. Designed for integration with electrical automation systems, it offers superior accuracy, robustness, and efficiency, advancing smart grid operations.

Cloud computing technology is developing rapidly, its application in the electrical industry has become more and more extensive. Using cloud computing technology in the electrical automation control system can improve the management and automation performance of the system. This not only improves the energy utilization rate, but also makes the automation system safer and more reliable.