Nikolaos Kourentzes

发表

Modelling Deterministic Seasonality with Artificial Neural Networks for Time Series Forecasting

Nikolaos Kourentzes, Sven F. Crone, 2010 .

MAPA: Multiple Aggregation Prediction Algorithm

Fotios Petropoulos, Nikolaos Kourentzes, F. Petropoulos, 2014 .

Simplifying Fitness Games for Users with Learning Disabilities

Nikolaos Kourentzes, Liu Liu, Monideepa Tarafdar, 2017, HICSS.

Neural network ensemble operators for time series forecasting

Nikolaos Kourentzes, Sven F. Crone, Devon K. Barrow, 2014, Expert Syst. Appl..

The impact of preprocessing on forecasting electrical load: An empirical evaluation of segmenting time series into subseries

Nikolaos Kourentzes, Sven F. Crone, 2011, The 2011 International Joint Conference on Neural Networks.

Elucidate structure in intermittent demand series

Nikolaos Kourentzes, George Athanasopoulos, G. Athanasopoulos, 2021, Eur. J. Oper. Res..

Quantile forecast optimal combination to enhance safety stock estimation

Juan R. Trapero, Nikolaos Kourentzes, Manuel Cardós, 2019, International Journal of Forecasting.

Semi-supervised monitoring of electric load time series for unusual patterns

Nikolaos Kourentzes, Sven F. Crone, N. Kourentzes, 2011, The 2011 International Joint Conference on Neural Networks.

Automatic selection of predictors for ARIMA models

Nikolaos Kourentzes, Robert Fildes, Patrícia Ramos, 2019 .

Naive Support Vector Regression and Multilayer Perceptron benchmarks for the 2010 neural network grand competition (NNGC) on time series prediction

Nikolaos Kourentzes, Sven F. Crone, N. Kourentzes, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

An evaluation of neural network ensembles and model selection for time series prediction

Nikolaos Kourentzes, Sven F. Crone, Devon K. Barrow, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Tactical sales forecasting using a very large set of macroeconomic indicators

Nikolaos Kourentzes, El Houssaine Aghezzaf, Bram Desmet, 2018, Eur. J. Oper. Res..

Forecast combinations for intermittent demand

Fotios Petropoulos, Nikolaos Kourentzes, F. Petropoulos, 2015, J. Oper. Res. Soc..

Demand forecasting with user-generated online information

Nikolaos Kourentzes, Robert Fildes, Oliver Schaer, 2019, International Journal of Forecasting.

Cross-temporal aggregation: Improving the forecast accuracy of hierarchical electricity consumption

Fotios Petropoulos, Nikolaos Kourentzes, Evangelos Spiliotis, 2020, Applied Energy.

Incorporating macroeconomic leading indicators in tactical capacity planning

Nikolaos Kourentzes, Stijn De Vuyst, Bram Desmet, 2019, International Journal of Production Economics.

Input variable selection for time series prediction with neural networks- an evaluation of visual, autocorrelation and spectral analysis for varying seasonality

Nikolaos Kourentzes, Sven F. Crone, 2007 .

Impact of Information Exchange on Supplier Forecasting Performance

Juan R. Trapero, Nikolaos Kourentzes, Robert Fildes, 2012 .

Another look at forecast selection and combination: Evidence from forecast pooling

Fotios Petropoulos, Nikolaos Kourentzes, Devon K. Barrow, 2019, International Journal of Production Economics.

Temporal Big Data for Tactical Sales Forecasting in the Tire Industry

El-Houssaine Aghezzaf, Nikolaos Kourentzes, Bram Desmet, 2018, Interfaces.

Inference for Neural Network Predictive Models with Impulse Interventions

Nikolaos Kourentzes, Sven F. Crone, 2010, DMIN.

Input variable selection for time series forecasting with artificial neural networks:an empirical evaluation across varying time series frequencies

Nikolaos Kourentzes, N. Kourentzes, 2009 .

Forecasting with temporal hierarchies

Fotios Petropoulos, Nikolaos Kourentzes, Rob J. Hyndman, 2017, Eur. J. Oper. Res..

Automatic modelling of neural networks for time series prediction - in search of a uniform methodology across varying time frequencies

Nikolaos Kourentzes, Sven F. Crone, 2008 .

Feature selection for time series prediction - A combined filter and wrapper approach for neural networks

Nikolaos Kourentzes, Sven F. Crone, N. Kourentzes, 2010, Neurocomputing.

On the identification of sales forecasting models in the presence of promotions

Juan R. Trapero, Nikolaos Kourentzes, Robert Fildes, 2015, J. Oper. Res. Soc..

tsintermittent: Intermittent Time Series Forecasting

Fotios Petropoulos, Nikolaos Kourentzes, 2014 .

Forecasting high-frequency time series with neural networks - an analysis of modelling challenges from increasing data frequency

Nikolaos Kourentzes, Sven F. Crone, N. Kourentzes, 2008 .

Demand forecasting using exogenous leading indicators

Nikolaos Kourentzes, Bram Desmet, El-Houssaine Aghezzaf, 2014 .

Advances in forecasting with artificial neural networks

Nikolaos Kourentzes, Sven F. Crone, N. Kourentzes, 2010 .

Proceedings of the 2010 International Conference on Data Mining

Nikolaos Kourentzes, Sven F. Crone, Hamid R. Arabnia, 2010 .

Forecasting: theory and practice

Fotios Petropoulos, Nikolaos Kourentzes, Daniele Apiletti, 2020, International Journal of Forecasting.

Modelling functional outliers for high frequency time series forecasting with neural networks:an empirical evaluation for electricity load data

Nikolaos Kourentzes, 2011 .

Forecasting Seasonal Time Series with Multilayer Perceptrons - An Empirical Evaluation of Input Vector Specifications for Deterministic Seasonality

Nikolaos Kourentzes, Sven F. Crone, 2009, DMIN.

Complex exponential smoothing

Nikolaos Kourentzes, Ivan Svetunkov, N. Kourentzes, 2016, Naval Research Logistics (NRL).

Time Series Exploration, Modelling and Forecasting [R package tsutils version 0.9.2]

Nikolaos Kourentzes, N. Kourentzes, 2020 .

Judgmental selection of forecasting models

Fotios Petropoulos, Nikolaos Kourentzes, Konstantinos Nikolopoulos, 2018 .

On intermittent demand model optimisation and selection

Nikolaos Kourentzes, N. Kourentzes, 2014 .

Input-variable specification for Neural Networks - An analysis of forecasting low and high time series frequency

Nikolaos Kourentzes, Sven F. Crone, 2009, 2009 International Joint Conference on Neural Networks.

On the Evaluation of Hierarchical Forecasts

Nikolaos Kourentzes, George Athanasopoulos, 2020 .

The impact of special days in call arrivals forecasting: A neural network approach to modelling special days

Nikolaos Kourentzes, Devon K. Barrow, Devon Barrow, 2018, Eur. J. Oper. Res..

Data driven fitting sample selection for time series forecasting with neural networks

Nikolaos Kourentzes, N. Kourentzes, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

On the use of multi-step cost functions for generating forecasts

Juan R. Trapero, Nikolaos Kourentzes, J. R. Trapero, 2018 .

Automatic robust estimation for exponential smoothing: Perspectives from statistics and machine learning

Nikolaos Kourentzes, Devon K. Barrow, Rickard Sandberg, 2020, Expert Syst. Appl..

Automatic robust estimation for exponential smoothing

Nikolaos Kourentzes, Rickard Sandberg, Jacek Niklewski, 2020 .

Optimising forecasting models for inventory planning

Juan R. Trapero, Nikolaos Kourentzes, Devon Barrow, 2020 .

Connecting forecasting and inventory performance: a complex task

Juan R. Trapero, Nikolaos Kourentzes, Ivan Svetunkov, 2021, SSRN Electronic Journal.

Stochastic coherency in forecast reconciliation

Nikolaos Kourentzes, Ivan Svetunkov, Kandrika Fadhlan Pritularga, 2021 .

Improving forecasting via multiple temporal aggregation

Fotios Petropoulos, Nikolaos Kourentzes, 2014 .

Validation and forecasting accuracy in models of climate change

Nikolaos Kourentzes, Robert Fildes, R. Fildes, 2011 .

Complex Exponential Smoothing for Seasonal Time Series

Nikolaos Kourentzes, Ivan Svetunkov, 2018 .

Distributions of forecasting errors of forecast combinations: Implications for inventory management

Nikolaos Kourentzes, Devon K. Barrow, N. Kourentzes, 2016 .

Forecasting with multivariate temporal aggregation: the case of promotional modelling

Fotios Petropoulos, Nikolaos Kourentzes, F. Petropoulos, 2016 .

Demand forecasting by temporal aggregation: Using optimal or multiple aggregation levels?

Nikolaos Kourentzes, Devon K. Barrow, Bahman Rostami-Tabar, 2017 .

Unconstraining methods for revenue management systems under small demand

Nikolaos Kourentzes, Arne K. Strauss, Dong Li, 2019 .

Cross-temporal coherent forecasts for Australian tourism

Nikolaos Kourentzes, George Athanasopoulos, G. Athanasopoulos, 2019, Annals of Tourism Research.

Intermittent demand forecasts with neural networks

Nikolaos Kourentzes, N. Kourentzes, 2013 .

Optimising Forecasting Models for Inventory Planning

Nikolaos Kourentzes, Devon K. Barrow, J. R. Trapero, 2019, International Journal of Production Economics.

Another look at estimators for intermittent demand

Fotios Petropoulos, Nikolaos Kourentzes, Konstantinos Nikolopoulos, 2016 .