From: Short-term photovoltaic power production forecasting based on novel hybrid data-driven models
 |  | Input variables |
---|---|---|
Time variables | \({v}_{i}^{1}\) | Month |
\({v}_{i}^{2}\) | Day | |
\({v}_{i}^{3}\) | Hour | |
Weather variables | \({v}_{i}^{4}\) | Air temperature (°C) |
\({v}_{i}^{5}\) | Wind direction (°N) | |
\({v}_{i}^{6}\) | Wind speed (m/s) | |
\({v}_{i}^{7}\) | Direct normal irradiance, DNI (Wh/m2) | |
\({v}_{i}^{8}\) | Global horizontal irradiance, GHI (Wh/m2) | |
\({v}_{i}^{9}\) | Pressure (mB) | |
Lag variables | \({v}_{i}^{10}\) | PV power output at the same hour on the previous day (kW) |