基于CEEMDAN-GSA-LSTM和SVR的光伏功率短期区间预测
李芬, 孙凌, 王亚维, 屈爱芳, 梅念, 赵晋斌

Short-Term Interval Forecasting of Photovoltaic Power Based on CEEMDAN-GSA-LSTM and SVR
LI Fen, SUN Ling, WANG Yawei, QU Aifang, MEI Nian, ZHAO Jinbin
表2 时序分量预测性能对比
Tab.2 Comparison of prediction performance of time series components
天气 分量 GSA-LSTM LSTM BP SVR
eS/% eN/% eS/% eN/% eS/% eN/% eS/% eN/%
晴天 HIMF1 20.3 3.7 27.5 4.8 54.4 15.0 50.5 13.2
晴天 HIMF2 21.4 3.5 26.3 5.2 52.3 14.3 49.4 14.5
晴天 HIMF3 18.7 2.6 21.9 3.7 47.2 12.1 48.8 13.6
晴天 HIMF7 18.2 2.1 19.9 3.6 48.1 9.9 41.0 10.3
转折 HIMF1 47.0 10.1 59.5 14.7 94.4 44.2 89.2 42.7
转折 HIMF2 39.2 9.7 60.3 15.6 94.6 43.1 87.6 42.0
转折 HIMF3 35.4 6.4 52.0 12.3 88.7 38.5 88.7 36.3
转折 HIMF7 29.1 5.5 52.3 13.3 83.3 40.3 82.1 36.9
阴雨 HIMF1 45.5 13.2 70.6 44.0 110.5 55.5 100.3 57.2
阴雨 HIMF2 40.3 12.1 65.5 42.5 103.2 52.4 97.0 51.4
阴雨 HIMF3 41.2 10.1 71.3 35.4 99.9 43.6 92.3 40.2
阴雨 HIMF7 38.9 7.8 62.2 32.1 101.2 44.2 90.1 41.1