Solar panel power generation interval

Can SSA-VMD-CNN-GRU predict solar power intervals?

Aiming at the difficulty of PV power prediction and the low accuracy of existing methods, a short-term PV power interval prediction method based on SSA-VMD-CNN-GRU is proposed. First, PV data undergo similar day clustering based on permutation entropy and VMD is applied to solar radiation signals with high correlation.

What is a short-term PV power interval prediction method based on SSA-VMD-CNN-GRU?

Based on the above theory, aiming to address the difficulty of PV power prediction and the low accuracy of existing methods, a short-term PV power interval prediction method based on sparrow search algorithm (SSA)-VMD-CNN-GRU is proposed.

What are the timescales for solar power aggregation?

Timescales (durations) considered are mainly minutes16,19–21, hours14,17,18,26, months23 and years15,24,25. Furthermore, the geographical scale for solar power aggregation varies with plant/site16,19–21,27, to state15,18,23,24,26 and to sub-region14,25 but with a limited number of PV sites/stations.

What is intermittency of solar energy?

It is well recognized internationally that the intermittency of solar energy is a fundamental technical/ economic barrier which limits the penetration level of solar power in the energy supply.