Table 4 The quantitative metrics of the proposed ETCN and benchmark models at Sungrid Power Station.
From: Short term prediction of photovoltaic power with time embedding temporal convolutional networks
Metrics | LSTM | BiLSTM | DCNN | DCNN_LSTM | DCNN_BiLSTM | ETCN |
|---|---|---|---|---|---|---|
MAE \(\varvec{\downarrow }\) | 0.2600 | 0.1118 | 0.2619 | Â Â Â 0.1195 | Â Â Â 0.1162 | 0.0964 |
RMSE \(\varvec{\downarrow }\) | 0.3032 | 0.1534 | 0.3259 | Â Â Â 0.1549 | Â Â Â 0.1553 | 0.1351 |
\(\hbox {R}^{2}\) \(\varvec{\uparrow }\) | 0.9457 | 0.9863 | 0.9385 | Â Â Â 0.9861 | Â Â Â 0.9867 | 0.9894 |
SS(%)\(\varvec{\uparrow }\) | 63.09 | 81.32 | 60.32 | 81.14 | 81.09 | 83.55 |
