| Autor: |
Zehetbauer, Paul, Kloibhofer, Simon, Stifter, Matthias, Mysore-Vasudevarao, Bharath-Varsh, Leimgruber, Fabian |
| Předmět: |
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| Zdroj: |
International Workshop on Integration of Solar into Power Systems; 2016, p276-282, 7p |
| Abstrakt: |
With the increasing penetration of measurement devices, it is possible to observe and monitor the grid more effectively using real, high resolution data. In order to use the data - for example in network simulations and time series analysis - the data has to have sufficient quality, e.g. no gaps due to interruptions in the monitoring device. Simple approaches, like filling the gaps with constant power, might not be satisfactory for many use cases, e.g. if the accurate dynamic characteristic of the profile affects network parameters such as voltage. For spatially correlated energy forms, like photovoltaic systems, a better approach is to take information from neighbouring measurements. In this paper, different methods to choose photovoltaic systems with similar behaviour are benchmarked and used to reconstruct missing data of erroneous measurements. The final method can be used to render poor quality data into a full and consistent time series, therefore facilitating better work and research with the photovoltaic data set. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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