Preprint Article Version 1 This version is not peer-reviewed

Intra-Hour Forecasts of Solar Power and Ramp Events

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 . Preprints 2018, 2018100593 (doi: 10.20944/preprints201810.0593.v1). Abuella, M.; Chowdhury, B. Intra-Hour Forecasts of Solar Power and Ramp Events †. Preprints 2018, 2018100593 (doi: 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.

Subject Areas

adjusting; classification; ensemble; post-processing; ramp events; solar power forecast

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