Data science
for renewable
energy prediction

 

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The project

Smart4RES is a European collaborative R&D project funded under the H2020 programme. It aims to substantially improve the entire model and value chain in renewable energy prediction by proposing the next generation of RES forecasting models, enabling an increase of at least 15% in RES forecas- ting performance.

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The consortium

Led by ARMINES, the project gathers 12 partners from 6 European countries, with a recognised leadership along the modelling and forecasting ecosystem.

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Concept & methodology

A use case approach is adopted to describe Smart4RES requirements and to propose a common model for all configurations from the perspective of any Smart4RES tools‘ users.

 

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22 November 2022

News & Events

New article published by DLR – Analyzing Spatial Variations of Cloud Attenuation by a Network of All-Sky Imagers

All-sky imagers (ASIs) can be used to model clouds and detect spatial variations of cloud attenuation. Such cloud modeling can support ASI-based nowcasting, upscaling of photovoltaic production and numeric weather predictions. Researchers from DLR, in collaboration with RWTH Aachen University and University of Patras, developed a novel procedure  which uses a network of ASIs to model clouds and determine cloud attenuation more accurately over every location in the observed area, at a resolution of 50 m × 50 m.

Read DLR’s article here.