A Review of the Enabling Methodologies for Knowledge Discovery from Smart Grids Data

A Deep Learning-based Approach for Battery Life Classification

Multi-label classification with imbalanced classes by fuzzy deep neural networks

Challenges and perspectives of smart grid systems in islands: a real case study

Hybrid Quantum-Classical Recurrent Neural Networks for Time Series Prediction

Multivariate Time Series Analysis for Electrical Power Theft Detection in the Distribution Grid

Nonexclusive Classification of Household Appliances by Fuzzy Deep Neural Networks

Multivariate Prediction of Energy Time Series by Autoencoded LSTM Networks

Deep Neural Networks for Electric Energy Theft and Anomaly Detection in the Distribution Grid

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

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

Two-stage dynamic management in energy communities using a decision system based on elastic net regularization

Two-stage dynamic management in energy communities using a decision system based on elastic net regularization

Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series

Prediction of Photovoltaic Time Series by Recurrent Neural Networks and Genetic Embedding

A Fuzzy Neural Network Approach to Quality Assessment of Water Reservoirs

Embedding of time series for the prediction in photovoltaic power plants