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Orientador(es)
Resumo(s)
(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.
Descrição
Palavras-chave
Measure-Correlate-Predict (MCP) methods Correlations
Contexto Educativo
Citação
Moreira, 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, Spain