| Short-term electricity demand forecasting using double seasonal exponential smoothing JW Taylor Journal of the Operational Research Society 54 (8), 799-805, 2003 | 950 | 2003 |
| 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 | 712 | 2007 |
| 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 | 695 | 2006 |
| Neural network load forecasting with weather ensemble predictions JW Taylor, R Buizza IEEE Transactions on Power systems 17 (3), 626-632, 2002 | 654 | 2002 |
| Triple seasonal methods for short-term electricity demand forecasting JW Taylor European Journal of Operational Research 204 (1), 139-152, 2010 | 524 | 2010 |
| Exponential smoothing with a damped multiplicative trend JW Taylor International journal of Forecasting 19 (4), 715-725, 2003 | 502 | 2003 |
| A quantile regression neural network approach to estimating the conditional density of multiperiod returns JW Taylor Journal of forecasting 19 (4), 299-311, 2000 | 448 | 2000 |
| 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 | 444 | 2009 |
| Using weather ensemble predictions in electricity demand forecasting JW Taylor, R Buizza International Journal of forecasting 19 (1), 57-70, 2003 | 391 | 2003 |
| 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 | 356 | 2000 |
| Short-term load forecasting with exponentially weighted methods JW Taylor IEEE transactions on Power Systems 27 (1), 458-464, 2011 | 347 | 2011 |
| 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 | 346 | 2008 |
| Estimating value at risk and expected shortfall using expectiles JW Taylor Journal of Financial Econometrics 6 (2), 231-252, 2008 | 343 | 2008 |
| 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 | 236 | 2012 |
| Volatility forecasting with smooth transition exponential smoothing JW Taylor International Journal of Forecasting 20 (2), 273-286, 2004 | 226 | 2004 |
| A comparison of univariate time series methods for forecasting intraday arrivals at a call center JW Taylor Management Science 54 (2), 253-265, 2008 | 215 | 2008 |
| Forecasting value at risk and expected shortfall using a semiparametric approach based on the asymmetric Laplace distribution JW Taylor Journal of Business & Economic Statistics 37 (1), 121-133, 2019 | 209 | 2019 |
| Using exponentially weighted quantile regression to estimate value at risk and expected shortfall JW Taylor Journal of financial Econometrics 6 (3), 382-406, 2008 | 183 | 2008 |
| Forecasting electricity smart meter data using conditional kernel density estimation S Arora, JW Taylor Omega 59, 47-59, 2016 | 178 | 2016 |
| A quantile regression approach to estimating the distribution of multiperiod returns JW Taylor Journal of Derivatives 7 (1), 64, 1999 | 178 | 1999 |
Patrick McSharryUniversity of Oxford在 maths.ox.ac.uk 的电子邮件经过验证
