Federico Succetti

Multidimensional Feeding of LSTM Networks for Multivariate Prediction of Energy Time Series

Rodolfo Araneo, Antonello Rosato, Massimo Panella, 2020, 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

A Combined Deep Learning Approach for Time Series Prediction in Energy Environments

Massimo Mitolo, Massimo Panella, Rodolfo Araneo, 2020, 2020 IEEE/IAS 56th Industrial and Commercial Power Systems Technical Conference (I&CPS).

Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series

Massimo Panella, Rodolfo Araneo, Antonello Rosato, 2020, IEEE Access.

ADMM Consensus for Deep LSTM Networks

Massimo Panella, Antonello Rosato, Federico Succetti, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

2-D Convolutional Deep Neural Network for the Multivariate Prediction of Photovoltaic Time Series

Massimo Panella, Rodolfo Araneo, Amedeo Andreotti, 2021, Energies.

Time Series Prediction with Autoencoding LSTM Networks

Massimo Panella, Antonello Rosato, Federico Succetti, 2021, IWANN.

A Blockwise Embedding for Multi-Day-Ahead Prediction of Energy Time Series by Randomized Deep Neural Networks

Massimo Panella, Antonello Rosato, Federico Succetti, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).