James W. Taylor

Orcid: 0000-0002-7580-800X

According to our database1, James W. Taylor authored at least 18 papers between 2000 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Probabilistic Forecasting of Patient Waiting Times in an Emergency Department.
Manuf. Serv. Oper. Manag., July, 2023

Probabilistic load forecasting using post-processed weather ensemble predictions.
J. Oper. Res. Soc., March, 2023

Combining probabilistic forecasts of COVID-19 mortality in the United States.
Eur. J. Oper. Res., 2023

2020
Estimating Value-at-Risk and Expected Shortfall using the intraday low and range data.
Eur. J. Oper. Res., 2020

2018
Probabilistic forecasting of wave height for offshore wind turbine maintenance.
Eur. J. Oper. Res., 2018

Rule-based autoregressive moving average models for forecasting load on special days: A case study for France.
Eur. J. Oper. Res., 2018

2017
Probabilistic forecasting of wind power ramp events using autoregressive logit models.
Eur. J. Oper. Res., 2017

Coherent Probabilistic Forecasts for Hierarchical Time Series.
Proceedings of the 34th International Conference on Machine Learning, 2017

2012
Density Forecasting of Intraday Call Center Arrivals Using Models Based on Exponential Smoothing.
Manag. Sci., 2012

2011
Multi-item sales forecasting with total and split exponential smoothing.
J. Oper. Res. Soc., 2011

2010
An evaluation of Bayesian techniques for controlling model complexity and selecting inputs in a neural network for short-term load forecasting.
Neural Networks, 2010

Triple seasonal methods for short-term electricity demand forecasting.
Eur. J. Oper. Res., 2010

2008
A Comparison of Univariate Time Series Methods for Forecasting Intraday Arrivals at a Call Center.
Manag. Sci., 2008

2007
Forecasting daily supermarket sales using exponentially weighted quantile regression.
Eur. J. Oper. Res., 2007

2005
Generating Volatility Forecasts from Value at Risk Estimates.
Manag. Sci., 2005

2003
Short-term electricity demand forecasting using double seasonal exponential smoothing.
J. Oper. Res. Soc., 2003

2000
Using combined forecasts with changing weights for electricity demand profiling.
J. Oper. Res. Soc., 2000

Review of guidelines for the use of combined forecasts.
Eur. J. Oper. Res., 2000


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