Renewable energy research and development project
Purpose: Using wind energy meteorology to develop system integration services for the energy grid and enhance efficiency of the European internal electricity market with high share of wind power.
Funding: EC REA - FP7 Marie Curie Actions project
Partners: 3E and Oldenburg University
Services developed through the MeteoRES project will focus on advanced forecasting methods for wind power production and electric loads, with the aim of improving the power and accuracy of both load and production forecasts.
- Implementation of advanced algorithms to improve the statistical correction (MOS) of wind power prediction models, using an auto-recursive model with forgetting factor instead of a linear regression algorithm.
- Development of an online application to dynamically collect turbine availability planning from maintenance teams to be integrated in forecasting system.
- Reduction and quantification of uncertainty on forecasts through the use of ensemble forecasting techniques at wind power prediction level.
- Adaptation of existing (utility-scale) load forecasting schemes to smaller scale and specific consumption sectors, with special emphasis on intra-day aspects.
- Set-up and integration of a commercially available load forecasting service with wind power forecasting tools.
- Leverage a load forecasting system based on the method of principal component analysis (PCA) for the load forecasting of sub-grids.
MeteoRES Services has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration - Marie Curie Actions: Industry and Academia Partnerships and Pathways - under grant agreement no 230719.