Quality control algorithm and open data of 175 solar PV systems

What is it about?

The paper publishes an open-source dataset featuring power measurement of 175 PV systems in the Netherlands. The power measurements have a 1-minute resolution and span a total period of four years. Metadata with information on the PV system size, orientation and location is included in a separate file. In addition, the paper introduces an open-access quality control algorithm that can filter erroneous PV power measurements. The algorithm is written as a Python package and therefore easily accessible for others. The datasets and quality control algorithm can be accessed freely through: https://doi.org/10.5281/zenodo.6906504

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Photo by American Public Power Association on Unsplash

Photo by American Public Power Association on Unsplash

Why is it important?

Public datasets are valuable to the research community for several reasons. Firstly, open data provide the research community access to (scarce) datasets for their own research. Secondly, open data give researchers the opportunity to test and compare methods and results. For example, PV power forecasting algorithms can be compared on one and the same dataset. Public datasets holding PV power measurements are scarce, in particular datasets that feature a high temporal and spatial resolution. Similarly, standardized routines to quality control power measurements are essential in order to validate these measurements and compare results amongst different studies.

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