The research systematically expounds the application mechanism of full life cycle data perception and fusion technology, as well as artificial intelligence-based power generation efficiency prediction and optimization models in the field of new energy power generation. It reveals the functional mechanism of digital intelligence technology in enhancing the accuracy of renewable energy resource assessment, achieving predictive maintenance of equipment, promoting the coordinated optimization of source-grid-load-storage, effectively mitigating the volatility of power generation, and improving the level of power consumption.