| Short-term electricity demand forecasting using double seasonal exponential smoothing JW Taylor Journal of the Operational Research Society 54 (8), 799-805, 2003 | 699 | 2003 |
| 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 | 566 | 2006 |
| Neural network load forecasting with weather ensemble predictions JW Taylor, R Buizza IEEE Transactions on Power systems 17 (3), 626-632, 2002 | 562 | 2002 |
| 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 | 516 | 2007 |
| Triple seasonal methods for short-term electricity demand forecasting JW Taylor European Journal of Operational Research 204 (1), 139-152, 2010 | 376 | 2010 |
| Exponential smoothing with a damped multiplicative trend JW Taylor International journal of Forecasting 19 (4), 715-725, 2003 | 347 | 2003 |
| 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 | 338 | 2009 |
| Using weather ensemble predictions in electricity demand forecasting JW Taylor, R Buizza International Journal of Forecasting 19 (1), 57-70, 2003 | 321 | 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 | 275 | 2000 |
| 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 | 257 | 2008 |
| Short-term load forecasting with exponentially weighted methods JW Taylor IEEE Transactions on Power Systems 27 (1), 458-464, 2011 | 253 | 2011 |
| Estimating value at risk and expected shortfall using expectiles JW Taylor Journal of Financial Econometrics 6 (2), 231-252, 2008 | 229 | 2008 |
| A quantile regression neural network approach to estimating the conditional density of multiperiod returns JW Taylor Journal of Forecasting 19 (4), 299-311, 2000 | 227 | 2000 |
| 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 | 190 | 2012 |
| A comparison of univariate time series methods for forecasting intraday arrivals at a call center JW Taylor Management Science 54 (2), 253-265, 2008 | 174 | 2008 |
| Volatility forecasting with smooth transition exponential smoothing JW Taylor International Journal of Forecasting 20 (2), 273-286, 2004 | 172 | 2004 |
| Using exponentially weighted quantile regression to estimate value at risk and expected shortfall JW Taylor Journal of financial Econometrics 6 (3), 382-406, 2008 | 148 | 2008 |
| A quantile regression approach to estimating the distribution of multiperiod returns JW Taylor The Journal of Derivatives 7 (1), 64-78, 1999 | 142 | 1999 |
| Forecasting daily supermarket sales using exponentially weighted quantile regression JW Taylor European Journal of Operational Research 178 (1), 154-167, 2007 | 138 | 2007 |
| Forecasting electricity smart meter data using conditional kernel density estimation S Arora, JW Taylor Omega 59, 47-59, 2016 | 114 | 2016 |
Patrick McSharryUniversity of OxfordVerified email at maths.ox.ac.uk
