Multi-aspect renewable energy forecasting

Scalable auto-encoders for gravitational waves detection from time series data

(2020) Roberto Corizzo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Ensembles of extremely randomized predictive clustering trees for predicting structured outputs

(2020) Dragi Kocev et al.   MACHINE LEARNING

Spatial autocorrelation and entropy for renewable energy forecasting

(2019) Michelangelo Ceci et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data

(2019) Roberto Corizzo et al.   Big Data Research

Empirical Mode Decomposition Based Deep Learning for Electricity Demand Forecasting

(2018) Jatin Bedi et al.   IEEE Access

Tensor-based anomaly detection: An interdisciplinary survey

(2016) Hadi Fanaee-T et al.   KNOWLEDGE-BASED SYSTEMS

LASSO vector autoregression structures for very short-term wind power forecasting

(2016) Laura Cavalcante et al.   WIND ENERGY

Multistage Wind-Electric Power Forecast by Using a Combination of Advanced Statistical Methods

(2015) Serkan Buhan et al.   IEEE Transactions on Industrial Informatics

Spatial-Temporal Solar Power Forecasting for Smart Grids

(2015) Ricardo J. Bessa et al.   IEEE Transactions on Industrial Informatics

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Probabilistic Forecasts of Wind Power Generation Accounting for Geographically Dispersed Information

(2014) Julija Tastu et al.   IEEE Transactions on Smart Grid

Dealing with spatial autocorrelation when learning predictive clustering trees

(2012) Daniela Stojanova et al.   Ecological Informatics

Three-way analysis of structural health monitoring data

(2011) Miguel A. Prada et al.   NEUROCOMPUTING

Solar and photovoltaic forecasting through post-processing of the Global Environmental Multiscale numerical weather prediction model

(2011) Sophie Pelland et al.   PROGRESS IN PHOTOVOLTAICS

Non-Negative Multilinear Principal Component Analysis of Auditory Temporal Modulations for Music Genre Classification

(2009) Y. Panagakis et al.   IEEE Transactions on Audio Speech and Language Processing

Tensor Decompositions and Applications

(2009) Tamara G. Kolda et al.   SIAM REVIEW