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3 随机分量预测性能对比
Tab.3 Comparison of prediction performance of random components
天气 分量 GSA-SVR LSTM BP SVR
eS/% eN/% eS/% eN/% eS/% eN/% eS/% eN/%
晴天 HIMF4 25.7 7.1 39.0 10.5 42.3 10.0 36.2 9.2
晴天 HIMF5 24.3 6.8 38.7 10.7 37.0 9.6 27.9 9.8
晴天 HIMF6 22.4 5.6 32.2 8.8 31.1 8.4 30.2 8.0
转折 HIMF4 60.0 17.5 75.4 34.7 86.3 35.4 67.8 22.3
转折 HIMF5 57.1 20.3 69.7 32.8 83.3 34.9 62.4 24.6
转折 HIMF6 50.9 15.4 75.2 30.9 75.1 31.6 55.3 18.7
阴雨 HIMF4 62.4 20.5 87.3 42.4 99.9 45.4 69.4 22.9
阴雨 HIMF5 56.2 19.6 89.0 40.0 97.1 41.0 64.4 27.1
阴雨 HIMF6 54.8 18.7 83.5 34.9 89.0 35.7 59.9 21.0