| Use of multilinear adaptive regression splines and numerical weather prediction to forecast the power output of a PV plant in Borkum, Germany L Massidda, M Marrocu Solar Energy 146, 141-149, 2017 | 99 | 2017 |
| Non-intrusive load disaggregation by convolutional neural network and multilabel classification L Massidda, M Marrocu, S Manca Applied Sciences 10 (4), 1454, 2020 | 93 | 2020 |
| Quantile regression post-processing of weather forecast for short-term solar power probabilistic forecasting L Massidda, M Marrocu Energies 11 (7), 1763, 2018 | 38 | 2018 |
| Performance comparison between deep learning and optical flow-based techniques for nowcast precipitation from radar images M Marrocu, L Massidda Forecasting 2 (2), 194-210, 2020 | 23 | 2020 |
| Decoupling weather influence from user habits for an optimal electric load forecast system L Massidda, M Marrocu Energies 10 (12), 2171, 2017 | 20 | 2017 |
| A Numerical Analysis of a High Temperature Solar Collecting Tube Using Helium as an Heat Transfer Fluid L Massidda, A Varone CRS4, 2007 | 19* | 2007 |
| Smart meter forecasting from one minute to one year horizons L Massidda, M Marrocu Energies 11 (12), 3520, 2018 | 17 | 2018 |
| A procedure for complete census estimation of rooftop photovoltaic potential in urban areas A Pinna, L Massidda Smart Cities 3 (3), 873-893, 2020 | 15 | 2020 |
| The randomized level-set method to model turbulence effects in wildland fire propagation G Pagnini, L Massidda Modelling Fire Behaviour and Risk. Proceedings of the International …, 2011 | 15 | 2011 |
| Modelling turbulence effects in wildland fire propagation by the randomized level-set method G Pagnini, L Massidda arXiv preprint arXiv:1408.6129, 2014 | 14 | 2014 |
| Experimental and numerical investigation of liquid-metal free-surface flows in spallation targets A Batta, AG Class, K Litfin, T Wetzel, V Moreau, L Massidda, S Thomas, ... Nuclear Engineering and Design 290, 107-118, 2015 | 13 | 2015 |
| A bayesian approach to unsupervised, non-intrusive load disaggregation L Massidda, M Marrocu Sensors 22 (12), 4481, 2022 | 12 | 2022 |
| Probabilistic day-ahead prediction of PV generation. A comparative analysis of forecasting methodologies and of the factors influencing accuracy L Massidda, F Bettio, M Marrocu Solar Energy 271, 112422, 2024 | 11 | 2024 |
| SPH simulation of liquid metal target dynamics L Massidda, Y Kadi Nuclear engineering and design 240 (5), 940-946, 2010 | 11 | 2010 |
| Design of the LHC beam dump entrance window R Veness, A Presland, SJ Mathot, L Massidda, B Goddard | 11 | 2006 |
| A parallel spectral element method for applications to computational mechanics F Maggio, L Massidda, J Sabadell, G Siddi | 8 | 2001 |
| Total and thermal load forecasting in residential communities through probabilistic methods and causal machine learning L Massidda, M Marrocu Applied Energy 351, 121783, 2023 | 6 | 2023 |
| Non-intrusive load disaggregation via a fully convolutional neural network: improving the accuracy on unseen household L Massidda, M Marrocu, S Manca 2020 2nd IEEE international conference on industrial electronics for …, 2020 | 6 | 2020 |
| A simple and effective approach for the prediction of turbine power production from wind speed forecast M Marrocu, L Massidda Energies 10 (12), 1967, 2017 | 6 | 2017 |
| ARMANDO, a SPH code for CERN L Massidda | 6 | 2008 |
Marino MarrocuCRS4Verified email at crs4.it
