Functional data clustering via piecewise constant nonparametric density estimation, Pattern Recognition, vol.45, issue.12, pp.4389-4401, 2012. ,
Time series analysis: forecasting and control, 2015. ,
Introduction to time series and forecasting, vol.2, 2002. ,
Arbitrated ensemble for time series forecasting, Proceedings of the Joint European conference on machine learning and knowledge discovery in databases, pp.478-494, 2017. ,
STL: A seasonaltrend decomposition, Journal of official statistics, vol.6, issue.1, pp.3-73, 1990. ,
Fast global alignment kernels, Proceedings of the International Conference on Machine Learning (ICML), pp.929-936, 2011. ,
Learning to forget: Continual prediction with LSTM, 1999. ,
Chapter 13 forecasting seasonal time series, Handbook of Economic Forecasting, vol.1, pp.659-711, 2006. ,
Time series data library (TSDL, 2011. ,
Electricity price forecasting -ARIMA model approach, Proceedings of the International Conference on the European Energy Market (EEM), pp.222-225, 2011. ,
Day-ahead wind speed forecasting using f-ARIMA models, Renewable Energy, vol.34, issue.5, pp.1388-1393, 2009. ,
Day-ahead time series forecasting: application to capacity planning, Proceedings of the 3rd workshop on Advanced Analytics and Learning of Temporal Data (AALTD), 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01912002
Least squares quantization in PCM, Transactions on information theory, vol.28, issue.2, pp.129-137, 1982. ,
Pedestrian counting system, 2016. ,
A hybrid ARIMA and support vector machines model in stock price forecasting, Omega, vol.33, issue.6, pp.497-505, 2005. ,
k-shape: Efficient and accurate clustering of time series, Proceedings of the International Conference on Management of Data (SIG-MOD), pp.1855-1870, 2015. ,
A global averaging method for dynamic time warping, with applications to clustering, Pattern Recognition, vol.44, issue.3, pp.678-693, 2011. ,
Day-ahead price forecasting in restructured power systems using artificial neural networks, Electric Power Systems Research, vol.78, issue.8, pp.1332-1342, 2008. ,
Time series forecasting using a hybrid ARIMA and neural network model, Neurocomputing, vol.50, pp.159-175, 2003. ,