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Density forecast transformations

Mogliani, Matteo; Odendahl, Florens - 2025

Persistent link: https://www.econbiz.de/10015406882

Low frequency cointegrating regression with local to unity regressors and unknown form of serial dependence

Hwang, Jungbin; Valdés, Gonzalo - In: Journal of business & economic statistics : JBES ; a … 42 (2024) 1, pp. 160-173

Persistent link: https://www.econbiz.de/10014449847

Comparison of deep learning models for multivariate prediction of time series wind power generation and temperature

Mishra, Sambeet; Bordin, Chiara; Taharaguchi, Kota; … - In: Energy Reports 6 (2020) 3, pp. 273-286

Wind power experienced a substantial growth over the past decade especially because it has been seen as one of the best ways towards meeting climate change and emissions targets by many countries. Since wind power is not fully dispatchable, the accuracy of wind forecasts is a key element for the...

Persistent link: https://www.econbiz.de/10012652360

Comparison of deep learning models for multivariate prediction of time series wind power generation and temperature

Mishra, Sambeet; Bordin, Chiara; Taharaguchi, Kota; … - In: Energy reports 6 (2020) 3, pp. 273-286

Persistent link: https://www.econbiz.de/10012183091