This preprint is a part of a PhD dissertation, which may be cited as: M. Abuella, A Post-processing Approach for Solar Power Combined Forecasts of Ramp Events. PhD Dissertation, The University of North Carolina at Charlotte, 2018, pp. 94 - 106.
Version 1
: Received: 25 October 2018 / Approved: 25 October 2018 / Online: 25 October 2018 (05:43:31 CEST)
How to cite:
Abuella, M.; Chowdhury, B. Intra-Hour Forecasts of Solar Power and Ramp Events †. Preprints2018, 2018100593. https://doi.org/10.20944/preprints201810.0593.v1
Abuella, M.; Chowdhury, B. Intra-Hour Forecasts of Solar Power and Ramp Events †. Preprints 2018, 2018100593. https://doi.org/10.20944/preprints201810.0593.v1
Abuella, M.; Chowdhury, B. Intra-Hour Forecasts of Solar Power and Ramp Events †. Preprints2018, 2018100593. https://doi.org/10.20944/preprints201810.0593.v1
APA Style
Abuella, M., & Chowdhury, B. (2018). Intra-Hour Forecasts of Solar Power and Ramp Events <sup>†</sup>. Preprints. https://doi.org/10.20944/preprints201810.0593.v1
Chicago/Turabian Style
Abuella, M. and Badrul Chowdhury. 2018 "Intra-Hour Forecasts of Solar Power and Ramp Events <sup>†</sup>" Preprints. https://doi.org/10.20944/preprints201810.0593.v1
Abstract
In this study an adjusting post-processing approach is implemented for improving intra-hourly forecasts of solar power and ramp events of PV solar power systems at different locations in the United States. This study also serves as an out-of-sample test to evaluate the performance of the adjusting approach with different locations and timescales. Thus, various individual intra-hourly forecasts of solar power are combined and adjusted by applying the adjusting approach. Both point and probabilistic forecasts of solar power are included. After that, solar power ramp event forecasting by the adjusting approach is carried out.
Keywords
adjusting; classification; ensemble; post-processing; ramp events; solar power forecast
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
