James W Taylor

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Patrick McSharryUniversity of OxfordVerified email at maths.ox.ac.uk
roberto buizzaScuola Universitaria Superiore Sant'AnnaVerified email at santannapisa.it
Derek BunnProfessor, London Business SchoolVerified email at london.edu
Jooyoung JeonKAIST (Korea Advanced Institute of Science & Technology)Verified email at kaist.ac.kr
Siddharth AroraVerified email at maths.ox.ac.uk
Lilian M. de MenezesBayes Business School (formerly Cass), City, University of LondonVerified email at city.ac.uk
Souhaib Ben TaiebMBZUAI, UMONSVerified email at mbzuai.ac.ae
Xiaochun MengSenior Lecturer (Associate Professor) in Finance, University of BathVerified email at bath.ac.uk
Rob J HyndmanProfessor of Statistics, Monash UniversityVerified email at monash.edu
Carlos Trucíos MazaUniversity of CampinasVerified email at unicamp.br
Max A LittleUniversity of BirminghamVerified email at mit.edu
Ralph SnyderAdjuct Associate Professor, Monash UniversityVerified email at monash.edu
Antoni EspasaUniversidad Carlos III de MadridVerified email at est-econ.uc3m.es
Keming Yu (Professor)Brunel University LondonVerified email at brunel.ac.uk
Ho-Yin MakMcDonough School of Business, Georgetown UniversityVerified email at georgetown.edu
Wei-Chong ChooUniversiti Putra MalaysiaVerified email at upm.edu.my
Nicole LudwigUniversity of TübingenVerified email at uni-tuebingen.de

James W Taylor

Professor of Decision Science, Said Business School, University of Oxford

Verified email at sbs.ox.ac.uk - Homepage

Forecasting Time Series


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Short-term electricity demand forecasting using double seasonal exponential smoothing JW Taylor Journal of the Operational Research Society 54 (8), 799-805, 2003	983	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	745	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	710	2006
Neural network load forecasting with weather ensemble predictions JW Taylor, R Buizza IEEE Transactions on Power systems 17 (3), 626-632, 2002	668	2002
Triple seasonal methods for short-term electricity demand forecasting JW Taylor European Journal of Operational Research 204 (1), 139-152, 2010	543	2010
Exponential smoothing with a damped multiplicative trend JW Taylor International journal of Forecasting 19 (4), 715-725, 2003	514	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	475	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	453	2009
Using weather ensemble predictions in electricity demand forecasting JW Taylor, R Buizza International Journal of forecasting 19 (1), 57-70, 2003	409	2003
Short-term load forecasting with exponentially weighted methods JW Taylor IEEE transactions on Power Systems 27 (1), 458-464, 2011	366	2011
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	361	2000
Estimating value at risk and expected shortfall using expectiles JW Taylor Journal of Financial Econometrics 6 (2), 231-252, 2008	359	2008
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	350	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	250	2012
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	238	2019
Volatility forecasting with smooth transition exponential smoothing JW Taylor International Journal of Forecasting 20 (2), 273-286, 2004	238	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	221	2008
Using exponentially weighted quantile regression to estimate value at risk and expected shortfall JW Taylor Journal of financial Econometrics 6 (3), 382-406, 2008	187	2008
Forecasting electricity smart meter data using conditional kernel density estimation S Arora, JW Taylor Omega 59, 47-59, 2016	186	2016
A quantile regression approach to estimating the distribution of multiperiod returns JW Taylor Journal of Derivatives 7 (1), 64, 1999	183	1999

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