Solar-TK: A Solar Modeling and Forecasting Toolkit

Noman Bashir, Dong Chen, David E. Irwin, P. Shenoy
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引用次数: 11

Abstract

There has been significant prior work on solar performance modeling and forecasting that infers a site's current and future solar generation based on different factors including a site's location, time, weather, and physical attributes. Unfortunately, much of the prior work is not accessible to researchers, either because it has not been implemented and released as open-source, is too complex and time-consuming to re-implement, or requires access to proprietary data sources. To address the problem, we present Solar-TK, a data-driven toolkit for solar performance modeling and forecasting that is simple, extensible, and publicly accessible. Solar-TK's simple approach models and forecasts a site's solar output given only its location and a small amount of historical generation data. We plan to publicly release Solar-TK as open-source to enable research that requires realistic solar models and forecasts, and to serve as a baseline for comparing new solar modeling and forecasting techniques.
Solar- tk:一个太阳建模和预测工具包
在太阳能性能建模和预测方面,已经有了大量的前期工作,可以根据不同的因素,包括地点的位置、时间、天气和物理属性,推断出一个地点当前和未来的太阳能发电量。不幸的是,许多先前的工作对研究人员来说是不可访问的,要么是因为它没有被实现并作为开源发布,要么是因为它太复杂和耗时而无法重新实现,或者需要访问专有的数据源。为了解决这个问题,我们提出了solar - tk,这是一个数据驱动的太阳能性能建模和预测工具包,它简单、可扩展且可公开访问。solar - tk的简单方法仅根据其位置和少量历史发电数据对一个站点的太阳能输出进行建模和预测。我们计划将solar - tk作为开源公开发布,以支持需要实际太阳模型和预测的研究,并作为比较新的太阳模型和预测技术的基线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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