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Triple seasonal methods for short-term electricity demand forecasting

Taylor, James W. - In: European journal of operational research : EJOR 204 (2010) 1, pp. 139-152

Persistent link: https://www.econbiz.de/10003946654

A strategic predictive distribution for tests of probabilistic calibration

Taylor, James W. - In: International journal of forecasting 36 (2020) 4, pp. 1380-1388

Persistent link: https://www.econbiz.de/10012546789

Using weather ensemble predictions in electricity demand forecasting

Taylor, James W.; Buizza, Roberto - In: International journal of forecasting 19 (2003) 1, pp. 57-70

Persistent link: https://www.econbiz.de/10001735031

Coherent probabilistic forecasts for hierarchical time series

Ben Taieb, Souhaib; Taylor, James W.; Hyndman, Rob J. - 2017

Persistent link: https://www.econbiz.de/10011781966

Comparing probabilistic forecasts of the daily minimum and maximum temperature

Meng, Xiaochun; Taylor, James W. - In: International journal of forecasting 38 (2022) 1, pp. 267-281

Persistent link: https://www.econbiz.de/10013347810

Combining probabilistic forecasts of COVID-19 mortality in the United States

Taylor, James W.; Taylor, Kathryn S. - In: European journal of operational research : EJOR 304 (2023) 1, pp. 25-41

Persistent link: https://www.econbiz.de/10013454170

Probabilistic load forecasting using post-processed weather ensemble predictions

Ludwig, Nicole Nadine; Arora, Siddharth; Taylor, James W. - In: Journal of the Operational Research Society 74 (2023) 3, pp. 1008-1020

Persistent link: https://www.econbiz.de/10014333330

Using group seasonal indices in multi-item short-term forecasting

Bunn, Derek W. - In: International journal of forecasting 9 (1993) 4, pp. 517-526

Persistent link: https://www.econbiz.de/10001159376

Forecasting the Energy Markets

Bunn, Derek W.; Karakatsani, Nektaria V. - In: The Oxford handbook of economic forecasting. 2012

Persistent link: https://www.econbiz.de/10012882022

The Forecasting Accuracy of Electricity Price Formation Models

Nan, Fany - 2010

In this paper we present an extensive comparison of four different classes of models for daily forecasting of spot electricity prices, including ARMAX, constant and time-varying parameter regression models as well as non linear Markov regime-switching regressions. They are selected for...

Persistent link: https://www.econbiz.de/10013143487