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A comparison of univariate methods for forecasting electricity demand up to a day ahead
Taylor, James W.; De Menezes, Lilian M.; McSharry, … - In: International journal of forecasting 22 (2006) 1, pp. 1-16
Persistent link: https://www.econbiz.de/10003283925
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Special issue: Energy forecasting
Taylor, James W. (contributor);  … - 2008
Persistent link: https://www.econbiz.de/10003808282
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Energy forecasting
Taylor, James W.; Espasa Terrades, Antoni - In: International journal of forecasting 24 (2008) 4, pp. 561-565
Persistent link: https://www.econbiz.de/10003808297
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An evaluation of methods for very short-term load forecasting using minute-by-minute British data
Taylor, James W. - In: International journal of forecasting 24 (2008) 4, pp. 645-658
Persistent link: https://www.econbiz.de/10003808342
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Density forecasting for the efficient balancing of the generation and consumption of electricity
Taylor, James W. - In: International journal of forecasting 22 (2006) 4, pp. 707-724
Persistent link: https://www.econbiz.de/10003385855
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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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Forecasting electricity smart meter data using conditional kernel density estimation
Arora, Siddarth; Taylor, James W. - In: Omega : the international journal of management science 59 (2016), pp. 47-59
Persistent link: https://www.econbiz.de/10011439737
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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
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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 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