Precise prediction and decision support path for new energy investment grid connection based on AI algorithms

As an emerging field, the new energy industry, an efficient investment network prediction can promote the improvement of the energy market and scientific decision-making. This paper applies artificial intelligence to new energy investment and proposes a new path for the precise positioning and auxiliary decision-making of the new energy investment network. Through data collection and organization, the study of influencing factors, the optimization of the AI algorithm model to achieve the positioning of the investment network, and based on this, an investment decision-making path assistance system was established. An AI intelligent auxiliary decision-making system was constructed and achieved successful results through actual tests. In conclusion, the research results of this paper can provide new theoretical research guidance and practical reference guidelines for new energy investors and have played a certain guiding role in helping new energy investors make decisions.