基于人工智能的新型新能源智慧运营管控平台构建与应用研究OA

This paper addresses the challenges of decentralized new energy plant operations,inefficient cross-level scheduling,fragmented data silos,and insufficient accuracy in predictive analysis.Based on a three-tier collaborative architecture of"group-regional-field station",it integrates artificial intelligence(AI)technology to construct a cloud-edge-device intelligent collaboration platform for the smart operation and management of new energy.The platform employs data lake technology to achieve standardized data governance and builds a new energy operation dataset to support multi-level AI model training and application.It innovatively designs AI-driven multi-level business modules,including marketing management,equipment health,multi-energy coordination,and expert knowledge bases.Through the deep integration of multi-energy coordination and smart decision-making,the platform significantly enhances field-level intelligent operation and maintenance,strengthens regional predictive scheduling capabilities,and optimizes group-level resource allocation efficiency,providing technical support for the efficient operation of the new energy industry.