Solar power forecasts
Spatio-temporal solar power forecasts via regression
N. Jaspers (TU Delft - Electrical Engineering, Mathematics and Computer Science)
R.A. Verzijlbergh – Mentor (TU Delft - Technology, Policy and Management)
S.R. de Roode – Mentor (TU Delft - Civil Engineering & Geosciences)
Z. Lukszo – Mentor (TU Delft - Technology, Policy and Management)
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Abstract
We aim to make solar power forecasts using regression for grid optimization. We forecast from 1 to 6 hours ahead. The forecasts prove to be accurate with a skill score of 20% compared to persistence for a lead time of one hour.