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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
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Probabilistic forecasting of wind power ramp events using autoregressive logit models
Taylor, James W. - In: European journal of operational research : EJOR 259 (2017) 2, pp. 703-712
Persistent link: https://www.econbiz.de/10011661798
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Rule-based autoregressive moving average models for forecasting load on special days : a case study for France
Arora, Siddharth; Taylor, James W. - In: European journal of operational research : EJOR 266 (2018) 1, pp. 259-268
Persistent link: https://www.econbiz.de/10011811671
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Probabilistic forecasting of wave height for offshore wind turbine maintenance
Taylor, James W.; Jeon, Jooyoung - In: European journal of operational research : EJOR 267 (2018) 3, pp. 877-890
Persistent link: https://www.econbiz.de/10011812821
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Estimating Value-at-Risk and Expected Shortfall using the intraday low and range data
Meng, Xiaochun; Taylor, James W. - In: European journal of operational research : EJOR 280 (2020) 1, pp. 191-202
Persistent link: https://www.econbiz.de/10012132379
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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
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Feature importance in the age of explainable AI : case study of detecting fake news & misinformation via a multi-modal framework
Kumar, Ajay; Taylor, James W. - In: European journal of operational research : EJOR 317 (2024) 2, pp. 401-413
Persistent link: https://www.econbiz.de/10014635812