Data-driven decision-making under risk and uncertainty is being augmented with advances in data science (e.g., deep learning with heterogeneous data sources) and artificial intelligence (e.g., reinforcement learning for optimization) techniques. WP3 will administer the WS and will collect success cases of application in the forecasting and decision-making domain of wind power forecasting, and study different paradigms for integrating uncertainty, data science and AI, such as: human-in-the-loop decision making, digital twins for decision support, interactive machine learning, etc. Finally, trust and security of data-driven methods will be a topic of analysis, in particularly considering industry requirements for integrating new technologies in their business processes. For meteorologists, the numerical weather prediction models change faster than the climate. How can the local adaption or some kind of AI adapt to this without running a new and old model in parallel for a long time? To shorten this parallel time would free up some effort to be used somewhere else.

D 2.3:  Report and conference papers on techniques to optimize the use of data science/AI tools for the forecasting of energy-application variables (M30)

STAGE 1: SMART4RES project (2022-2023)

There has been done a lot of work and most of the current desimmination of this workstream has been through the SMART4RES project — check out the publications here and deliverables here.

STAGE 2: Merging knowledge into an update to IEA Wind Recommended Practice and IEC SC8A New Work Item (Standard) (2024-2025)

In the next phase, we will be discussion impacts from the first phase and merge knowledge and experience into an update of our IEA Wind Recommended Practice for the Implementation of Renewable Energy Forecasting Solutions and a New Work Item at the IEC SC8A Workgroup 2 that has started in 2023.

If you are interested in working with us on a strategy for better data accessibility, availability and standardisation of data in the energy sector, please contact the worksstream leader Prof. George Kariniotakis, the Task manager Dr. Corinna Möhrlen or the operating agent Dr. Gregor Giebel
o hear more about our work in this workstream.