Data Usage in PV Networks: Smart Analyses & Forecasts, their Application Scenarios and Development of Business Models

In the last few years the use of renewable energy sources, especially PV energy, has increased in the Austrian and international energy system. On the one hand this fact has a positive effect to accomplish the climate targets but on the other hand increases the complexity of planning and organising energy distribution and clearing.

Conventional meteorological methods (numerical / statistical models, weather data from measurement stations and satellites) are technically quite well developed when focusing on the single methods, even for energy applications. In energy systems, however, they are used only to a limited extent for two main reasons: (i) individual methods are hardly suitable for complex energy-related prediction problems (fog, thunderstorms, etc.) and (ii) connections between single data networks and methods are not used.

The combination of PV production data, satellite and weather station data in meteorology and the data potential of Skycams is currently (i) technologically underdeveloped, (ii) not adapted to the intended purpose or (iii) used as stand-alone technologies: existing data potentials are not fully exploited with respect to particular goals, additional data sources are not yet used and the added value of a holistic data-fusion approach is not yet generated. This results in an optimization potential. Due to the fact that the use of such techniques at end-users, energy suppliers and distribution network operators is not economically investigated, the necessary development tasks are both on the technical as well as on the economic side.

Within the scope of the project, the main goal is to link the data networks of PV systems, weather forecasts and skycams for the generation of

  • novel analysis and forecasting methods using online PV measurement data as well as Skycams,
  • efficient energy management applications by the use of such advanced forecasts and
  • business models for data usage.

The results of this project are both novel energy meteorological forecasts based on the fusion of different data-networks as well as precise analyses of their application and economic benefits (focus on energy trading, energy transport and energy management). In addition, business models that use combined datasets are developed and examined within PV-go-Smart and their cost-effectiveness for various applications is examined. The research done in this project increases the know-how of the consortium members, and thus in the region of Upper Austria, in the area of the exploitation of data stemming from different (sensors) networks and thus supports the digital transformation going on in major industries (energy supply and management, photovoltaics and meteorology).

Project Data

Duration: 01.10.2017 - 30.09.2019
Budget: ca. 750.000 € total costs and ca. 571.000 € funding contribution

  • FH OÖ F&E GmbH (Coordinator)
  • Energieinstitut, JKU
  • Fronius International GmbH
  • Energie AG Oberösterreich Trading GmbH
  • Software Competence Center Hagenberg GmbH

Funding partner: Innovatives Oberösterreich 2020, Call "Digitalisierung"


Patrick Praher

Praher Patrick

Researcher Data Analysis Systems
Phone: +43 50 343 829