A New Version of the SUNY Solar Forecast Model: A Scalable Approach to Site-Specific Model Training
A New Version of the SUNY Solar Forecast Model: A Scalable Approach to Site-Specific Model Training
复制标题
纽约州立大学太阳能预测模型的新版本：一种可扩展的特定地点模型训练方法
DOI：
--
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
A. Tuohy
中科院分区：
文献类型：
--
作者：
R. Perez;J. Schlemmer;S. Kivalov;J. Dise;P. Keelin;M. Grammatico;T. Hoff;A. Tuohy
This article introduces a new version of the SUNY solar forecast model, as implemented in the software SolarAnywhere®. Like the existing version, this new version is intended for direct, out-of-the-box application throughout North America without requiring training/feedback from measured data. The existing version was recently identified by EPRI as most accurate among thirteen operational models after an independent evaluation in two climatically distinct US regions. This new version shows further measurable performance improvements and operational functionality with capability of using historical satellite data for model training purposes. The advantage of incorporating historical satellite data is that it allows this forecast application to scale to all sizes of PV systems (large utility-scale down to individual rooftop) without the requirement of site-measured inputs. This new approach exhibits a 1-5% root mean square error (RMSE) improvement over the forecast horizon up to two-days in advance. Index Terms —solar resource, irradiance, solar forecasting, PV fleet forecasting.
