The abstract of this study focuses on the prototype research of energy internet deterministic network based on NN (Neural Network) model. In this study, we focused on two key areas, namely the application of NN models and the development of energy internet. In the field of electricity, the application of NN has shown great potential, which can be used for tasks such as electricity load forecasting, renewable energy generation forecasting, and electricity market price forecasting. Our research aims to explore how to apply the NN model to the development of deterministic network prototypes to improve the reliability and controllability of power systems. The experimental results show that the power generation prediction values of the test set fluctuate greatly between the iterations of 50–550 and 850–950, indicating that the prediction results are accompanied by uncertainty estimation, but overall they are still relatively close to the training set. In summary, this study focuses on the application of NN models in the energy internet. Our goal is to provide strong support for the future development of the energy internet, to meet the growing demand for electricity, and to promote the application and popularization of sustainable energy.

Research on Deterministic Network Prototype of Energy Internet Based on Neural Network Modeling