Moreira, A.Rocha, T.Mendonça, J.Pilão, R.Pinto, P.2024-11-112024-11-112024Moreira, A., Rocha, T., Mendonça, J., Pilão, R., & Pinto, P. (2024, Jun. 26-28). Evaluation of MCP correlation algorithms applied to wind data series [Poster presentation]. ICREPQ’24 - 22nd International Conference on Renewable Energies and Power Quality, Bilbao, Spainhttp://hdl.handle.net/10400.22/26384(Objectives) This work aimed to develop methodologies for analyzing statistical correlations among wind data series using various Measure-Correlate-Predict (MCP) methods, with the goal of selecting the most suitable method for extrapolating long-term data with minimal associated uncertainty. Furthermore, the study intends to investigate how the concurrent period used to build the correlation can affect the performance indicators of MCP methods.engMeasure-Correlate-Predict (MCP) methodsCorrelationsEvaluation of MCP correlation algorithms applied to wind data seriesconference object