Comparing various solar irradiance categorization methods – A critique on robustness

Bálint Hartmann

Renewable Energy, 2020, vol. 154, issue C, 661-671

Abstract: Traditional ways of planning and operation of electricity networks have been challenged lately by the spread of variable renewable energy sources, especially solar photovoltaics, and the need for better forecasting has increased interest in various solutions. Categorization of solar irradiance data, as one of the earliest applied techniques, is a frequently discussed topic in the literature, but the efficiency of different methods may be significantly variable. The aim of this paper is to compare various categorization methods using a one-year-long solar irradiance dataset and reflect on their inefficiencies and the need for more timely solutions.

Keywords: Solar irradiance; Classification; Clustering; Clearness; Variability; Solar photovoltaics (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:154:y:2020:i:c:p:661-671

DOI: 10.1016/j.renene.2020.03.055

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