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作 者:朱健 罗瑛 赖晓路[1] 邵会学 ZHU Jian;LUO Ying;LAI Xiaolu;SHAO Huixue(Guodian Nanjing Automation Co.,Ltd.,Nanjing 210032,China)
机构地区:[1]国电南京自动化股份有限公司,江苏南京210032
出 处:《电工技术》2022年第18期51-53,共3页Electric Engineering
摘 要:现有新能源功率预测系统中预测模型及算法都基于C/S架构开发,随着物联网技术的飞快发展,通过B/S浏览器方式实时监视新能源电站通信状态与文件上传状态、实时查询展示报表曲线、统计分析历史数据变得尤为重要。对此,研究一套功率预测模型重构方法将C/S架构下的功率预测模型及算法在新能源功率预测Web平台中实现快速重构,无需重新建模。The prediction models and algorithms in the existing new energy power prediction system are all developed based on C/S architecture.With the rapid development of Internet of Things technology,it has become particularly important to monitor the communication status and file upload status of new energy power plants in real time through the B/S browser,to query and display report curves in real time,and to perform statistical analysis on historical data.In this regard,a set of power prediction model reconstruction method is studied to realize rapid reconstruction of the power prediction model and algorithm under the C/S architecture in the new energy power prediction Web platform without re-modeling.
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