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Long-term prediction of time series by combining direct and MIMO strategies.

, , , and . IJCNN, page 3054-3061. IEEE Computer Society, (2009)

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Sparse and Smooth Adjustments for Coherent Forecasts in Temporal Aggregation of Time Series.. NIPS Time Series Workshop, volume 55 of JMLR Workshop and Conference Proceedings, page 16-26. JMLR.org, (2016)Forecasting Uncertainty in Electricity Smart Meter Data by Boosting Additive Quantile Regression., , , and . IEEE Trans. Smart Grid, 7 (5): 2448-2455 (2016)Boosting multi-step autoregressive forecasts., and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 109-117. JMLR.org, (2014)A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition, , , and . CoRR, (2011)Coherent Probabilistic Forecasts for Hierarchical Time Series., , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 3348-3357. PMLR, (2017)Decentralized Energy and Power Estimation in Solar-Powered Wireless Sensor Networks., , , and . DCOSS, page 199-200. IEEE Computer Society, (2015)A Bias and Variance Analysis for Multistep-Ahead Time Series Forecasting., and . IEEE Trans. Neural Netw. Learning Syst., 27 (1): 62-76 (2016)A Time Series Approach for Profiling Attack., , , and . SPACE, volume 8204 of Lecture Notes in Computer Science, page 75-94. Springer, (2013)Long-term prediction of time series by combining direct and MIMO strategies., , , and . IJCNN, page 3054-3061. IEEE Computer Society, (2009)Multiple-output modeling for multi-step-ahead time series forecasting., , and . Neurocomputing, 73 (10-12): 1950-1957 (2010)