摘要：【中文】本发明公开了基于大数据模型的电力创新人才能力评估方法，涉及能力评估领域。目前，浙江电网正在快速开展着创新型人才队伍的建设工作，目前人才的评估主观性强，不能全面了解员工的特点，不利于人才队伍的选拔和培养工作。本发明包括步骤1)数据采集；2)数据处理；3)构建模型；4)模型结果输出。本技术方案基于浙江电网创新基地员工的基础数据信息、能力评测数据、考核评测数据等数据信息，借助大数据技术和算法模型构建的人才工作能力评估分析方法，深入全面地对员工不同维度的工作能力进行评估分析，有效帮助管理部门决策者科学全面地了解员工队伍的能力情况，根据员工能力评估，开展精准的创新型人才队伍的选拔、培养工作。 【EN】The invention discloses a power innovation talent capability assessment method based on a big data model, and relates to the field of capability assessment. At present, the Zhejiang power grid is developing the construction work of innovative talent teams quickly, the evaluation subjectivity of talents is strong at present, the characteristics of employees cannot be known comprehensively, and the selection and cultivation work of talent teams is not facilitated. The method comprises the steps of 1) data acquisition; 2) processing data; 3) constructing a model; 4) and outputting a model result. According to the technical scheme, based on basic data information, capability evaluation data, assessment evaluation data and other data information of employees in a Zhejiang power grid innovation base, the talent working capability evaluation and analysis method constructed by a big data technology and an algorithm model is used for deeply and comprehensively evaluating and analyzing the working capabilities of the employees in different dimensions, so that decision makers of management departments are effectively helped to scientifically and comprehensively know the capability conditions of staff teams, and accurate selection and culture work of innovative talent teams is carried out according to the staff capability evaluation.