Clouds passing over solar photovoltaic (PV) power system causes power fluctuations, which
contributes to power quality issues. Power fluctuations are usually compensated by an …

Precise sky classification as a function of cloudiness is desirable or necessary in a variety of
applications. CAELUS, a novel classification algorithm that relies on various thresholds to …

Solar radiation is an essential input in the design and operation of many engineering
systems. However, access to high-resolution data (hourly or sub-hourly) is usually limited …

Accurate monitoring and operation of solar power systems require high-resolution solar
radiation measurements and precise separation models. This study aims to improve the …

Solar energy is abundant, and technological advances have made solar energy systems
more affordable than ever before. Using photovoltaic (PV) systems could significantly reduce …

This article proposes a framework to identify, visualize, and quantify risk of potential
over/under voltage due to annual energy consumption and PV generation growth. The …

This work exposes an innovative clustering method of solar radiation stations, using static
and dynamic parameters, based on multi-criteria analysis for future objectives to make the …

Considering the impact of photovoltaic installations and the fact that their performance
depends on the type of day, this paper presents a classifier that makes use of fuzzy logic to …

Nowadays, the integration of renewable energy sources (RES) generation, especially solar
energy, into the power grid is increasing rapidly. Likewise, as an archipelago country that …

In this work, the automatic classification of daily irradiance profiles registered in a
photovoltaic installation located in the south of Spain was carried out for a period of nine …