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基于大数据及智能算法的连云港电量负荷预测研究 被引量:11

Research on Electricity Consumption and Load Prediction of Lianyungang Based on Big Data and Intelligent Algorithm
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摘要 随着连云港经济的快速发展,用电量和用电负荷也在快速增长,通过比对GDP和电量负荷的增长趋势,并应用大数据类比省内经济发展较快城市的历史电量以及负荷增长趋势,寻找到发展规律相似程度较高的城市。结合连云港市的经济政策,通过智能算法预测出未来几年内的电量负荷数值,并与这些城市对应时间的实际数值比较,电量及负荷数值基本吻合,预测准确率较高,对连云港"十三五"电网规划和建设具有重要参考价值。 The economy of Lianyungang is developing rapidly; also the electricity consumption is in rapid growth. By analyzing the growth trend of GDP and power consumption and analoging the power consumption to the cities with faster economic development speeds, the cities with similar development law are found. According to the economic policy of Lianyungang, the load values of the next few years are predicted by using intelligent algorithm. The actual value and prediction values of corresponding times are compared, which indicates those two values are almost the same. The perdition method is helpful to Lianyungang's 13 th plan of five-year power grid development.
机构地区 连云港供电公司
出处 《江苏电机工程》 2016年第3期49-52,共4页 Jiangsu Electrical Engineering
关键词 大数据 用电量 负荷 智能算法 预测 big data electricity consumption load intelligent algorithm forecasting
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