Making Regional Probabilistic Solar Forecasts from Deterministic Forecasts: Performance with Improved Deterministic Forecasts

This work updates previous work on making probabilistic solar forecasts for a fleet of solar plants, demonstrating performance improvements from an improved deterministic forecasts from a commercial vendor. Using the same open-source methods, reliability and sharpness of the probabilistic forecasts improved notably — the current forecast is about 40% sharper (narrower) than the previous forecast for the realized 95% and 99% prediction intervals relative to benchmark persistence ensembles. Grid operators with existing deterministic forecasts could replicate these methods to produce usable probabilistic forecasts.

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Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/pvsc59419.2025.11133137
Primary Topic
Solar Radiation and Photovoltaics
Type
article
Field-Weighted Citation Impact
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article

Making Regional Probabilistic Solar Forecasts from Deterministic Forecasts: Performance with Improved Deterministic Forecasts

William B. Hobbs
Solar Radiation and Photovoltaics
article

Making Regional Probabilistic Solar Forecasts from Deterministic Forecasts: Performance with Improved Deterministic Forecasts

William B. Hobbs
article en

Abstract

This work updates previous work on making probabilistic solar forecasts for a fleet of solar plants, demonstrating performance improvements from an improved deterministic forecasts from a commercial vendor. Using the same open-source methods, reliability and sharpness of the probabilistic forecasts improved notably — the current forecast is about 40% sharper (narrower) than the previous forecast for the realized 95% and 99% prediction intervals relative to benchmark persistence ensembles. Grid operators with existing deterministic forecasts could replicate these methods to produce usable probabilistic forecasts.

Southern Company (United States) (US)
Climate action
Openalex Percentile: Top 88%
Solar Radiation and Photovoltaics
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