James W Taylor
James W Taylor
Professor of Decision Science, Said Business School, University of Oxford
Verifierad e-postadress på sbs.ox.ac.uk - Startsida
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Short-term electricity demand forecasting using double seasonal exponential smoothing
JW Taylor
Journal of the Operational Research Society 54 (8), 799-805, 2003
7442003
A comparison of univariate methods for forecasting electricity demand up to a day ahead
JW Taylor, LM De Menezes, PE McSharry
International journal of forecasting 22 (1), 1-16, 2006
5952006
Neural network load forecasting with weather ensemble predictions
JW Taylor, R Buizza
IEEE Transactions on Power systems 17 (3), 626-632, 2002
5752002
Short-term load forecasting methods: An evaluation based on european data
JW Taylor, PE McSharry
IEEE Transactions on Power Systems 22 (4), 2213-2219, 2007
5472007
Triple seasonal methods for short-term electricity demand forecasting
JW Taylor
European Journal of Operational Research 204 (1), 139-152, 2010
3992010
Exponential smoothing with a damped multiplicative trend
JW Taylor
International journal of Forecasting 19 (4), 715-725, 2003
3762003
Wind power density forecasting using ensemble predictions and time series models
JW Taylor, PE McSharry, R Buizza
IEEE Transactions on Energy Conversion 24 (3), 775-782, 2009
3552009
Using weather ensemble predictions in electricity demand forecasting
JW Taylor, R Buizza
International Journal of Forecasting 19 (1), 57-70, 2003
3312003
Review of guidelines for the use of combined forecasts
LM De Menezes, DW Bunn, JW Taylor
European Journal of Operational Research 120 (1), 190-204, 2000
2932000
An evaluation of methods for very short-term load forecasting using minute-by-minute British data
JW Taylor
International journal of forecasting 24 (4), 645-658, 2008
2692008
Short-term load forecasting with exponentially weighted methods
JW Taylor
IEEE Transactions on Power Systems 27 (1), 458-464, 2011
2672011
A quantile regression neural network approach to estimating the conditional density of multiperiod returns
JW Taylor
Journal of Forecasting 19 (4), 299-311, 2000
2512000
Estimating value at risk and expected shortfall using expectiles
JW Taylor
Journal of Financial Econometrics 6 (2), 231-252, 2008
2472008
Using conditional kernel density estimation for wind power density forecasting
J Jeon, JW Taylor
Journal of the American Statistical Association 107 (497), 66-79, 2012
1952012
A comparison of univariate time series methods for forecasting intraday arrivals at a call center
JW Taylor
Management Science 54 (2), 253-265, 2008
1782008
Volatility forecasting with smooth transition exponential smoothing
JW Taylor
International Journal of Forecasting 20 (2), 273-286, 2004
1782004
Using exponentially weighted quantile regression to estimate value at risk and expected shortfall
JW Taylor
Journal of financial Econometrics 6 (3), 382-406, 2008
1492008
A quantile regression approach to estimating the distribution of multiperiod returns
JW Taylor
The Journal of Derivatives 7 (1), 64-78, 1999
1491999
Forecasting daily supermarket sales using exponentially weighted quantile regression
JW Taylor
European Journal of Operational Research 178 (1), 154-167, 2007
1442007
Forecasting electricity smart meter data using conditional kernel density estimation
S Arora, JW Taylor
Omega 59, 47-59, 2016
1252016
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Artiklar 1–20