通过运用大数据技术,达到了对短期负荷预测的精准。整个9月份,江苏电网短期的2日网供负荷预测准确度高达97.8%,这比调度人员用传统方法预测的准确度高出1个百分点。今夏,江苏电网负荷再攀高峰,8月5日达到8480万千瓦的历史新峰值。而早在近3个月前,国网江苏省电力公司就利用大数据技术进行了精准预测,据此形成的电力供需“紧平衡”预判,给江苏电网平稳度夏平添了一 Through the use of big data technology, to achieve the accuracy of short-term load forecasting. Throughout September, Jiangsu Power Grid on the 2nd short-term network for load forecasting accuracy of 97.8%, which is dispatchers than the accuracy of the traditional method of predicting the accuracy of 1 percentage point. This summer, Jiangsu power grid peak again climbed to reach 84.8 million kilowatts August 5 new peak in history. As early as nearly 3 months ago, the State Grid Jiangsu Power Company made use of big data technology to accurately predict the resulting supply and demand of electricity “tight balance ” pre-judgment, to the Jiangsu Power Grid Ping Xia Ping added a