| 2025 | IJCCI | A Universal Urban Electricity -Demand Simulator for Developing and Evaluating Load-Scheduling and Forecasting Systems. | Sabereh Taghdisi Rastkar, Saeid Jamili, Enrico De Santis, Antonello Rizzi |
| 2025 | IJCCI | Degradation-Aware Energy Management in Residential Microgrids: A Reinforcement Learning Framework. | Danial Zendehdel, Gianluca Ferro, Enrico De Santis, Antonello Rizzi |
| 2025 | IJCNN | On a Fast and Explainable REC HEMS Based on Kolmogorov-Arnold Networks. | Antonino Capillo, Enrico De Santis, Antonello Rizzi |
| 2025 | IJCNN | Decision Focused Forecasting for Smart Grid Energy Management Systems. | Gianluca Ferro, Enrico De Santis, Antonino Capillo, Antonello Rizzi |
| 2025 | IJCNN | Graph-Aug LSTM with Weighted Loss for Enhanced Energy Forecasting. | Sabereh Taghdisi Rastkar, Saeid Jamili, Enrico De Santis, Antonello Rizzi |
| 2025 | IJCNN | A KAN-SHAP Framework for Fault Detection and Analysis in Smart Grids. | Enrico De Santis, Gianluca Ferro, Antonello Rizzi |
| 2025 | IJCNN | 2025: A GPT Odyssey. Deconstructing Intelligence by Gradual Dissolution of a Transformer. | Enrico De Santis, Alessio Martino, Edoardo Bruno, Antonello Rizzi |
| 2025 | IJCNN | LSTM in Recursive Feedback Loops: A Study on Textual Evolution and Complexity. | Enrico De Santis, Alessio Martino, Francesca Ronci, Antonello Rizzi |
| 2025 | IJCNN | Multi-Objective Battery Dispatching using an Enhanced SAC Algorithm. | Danial Zendehdel, Enrico De Santis, Antonino Capillo, Philip Odonkor, Antonello Rizzi |
| 2024 | IJCNN | Improving Prediction Performances by Integrating Second Derivative in Microgrids Energy Load Forecasting. | Sabereh Taghdisi Rastkar, Saeid Jamili, Enrico De Santis, Antonello Rizzi |
| 2024 | IJCNN | An Extended Battery Equivalent Circuit Model for an Energy Community Real Time EMS. | Danial Zendehdel, Antonino Capillo, Enrico De Santis, Antonello Rizzi |
| 2023 | IJCCI | A Comparison Between Seasonal and Non-Seasonal Forecasting Techniques for Energy Demand Time Series in Smart Grids. | Sabereh Taghdisi Rastkar, Danial Zendehdel, Enrico De Santis, Antonello Rizzi |
| 2023 | IJCNN | A Comparison of Neural Word Embedding Language Models for Classifying Social Media Users in the Healthcare Context. | Enrico De Santis, Alessio Martino, Francesca Ronci, Antonello Rizzi |
| 2022 | IJCCI | Synthesis of an Evolutionary Fuzzy Multi-objective Energy Management System for an Electric Boat. | Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi |
| 2022 | IJCNN | A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains. | Enrico De Santis, Francesco Arn, Alessio Martino, Antonello Rizzi |
| 2021 | IJCCI | A Modular Autonomous Driving System for Electric Boats based on Fuzzy Controllers and Q-Learning. | Emanuele Ferrandino, Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi |
| 2020 | IJCCI | Mining M-Grams by a Granular Computing Approach for Text Classification. | Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi |
| 2020 | IJCCI | Classification and Calibration Techniques in Predictive Maintenance: A Comparison between GMM and a Custom One-Class Classifier. | Enrico De Santis, Antonino Capillo, Fabio Massimo Frattale Mascioli, Antonello Rizzi |
| 2020 | IJCNN | Facing Big Data by an Agent-Based Multimodal Evolutionary Approach to Classification. | Mauro Giampieri, Luca Baldini, Enrico De Santis, Antonello Rizzi |
| 2020 | IJCNN | An Ecology-based Index for Text Embedding and Classification. | Alessio Martino, Enrico De Santis, Antonello Rizzi |
| 2019 | IJCCI | Calibration Techniques for Binary Classification Problems: A Comparative Analysis. | Alessio Martino, Enrico De Santis, Luca Baldini, Antonello Rizzi |
| 2018 | IJCNN | A Supervised Classification System based on Evolutive Multi-Agent Clustering for Smart Grids Faults Prediction. | Mauro Giampieri, Enrico De Santis, Antonello Rizzi, Fabio Massimo Frattale Mascioli |
| 2018 | IJCNN | Dissimilarity Space Representations and Automatic Feature Selection for Protein Function Prediction. | Enrico De Santis, Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli |
| 2018 | IJCNN | Evolutionary Optimization of an Affine Model for Vulnerability Characterization in Smart Grids. | Enrico De Santis, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli |
| 2017 | CEC | A learning intelligent System for classification and characterization of localized faults in Smart Grids. | Enrico De Santis, Antonello Rizzi, Alireza Sadeghian |
| 2016 | CEC | Multi objective optimization of a fuzzy logic controller for energy management in microgrids. | Stefano Leonori, Enrico De Santis, Antonello Rizzi, F. M. Frattale Mascioli |
| 2016 | IECON | Optimization of a microgrid energy management system based on a Fuzzy Logic Controller. | Stefano Leonori, Enrico De Santis, Antonello Rizzi, F. M. Frattale Mascioli |
| 2015 | IJCNN | A learning intelligent system for fault detection in Smart Grid by a One-Class Classification approach. | Enrico De Santis, Antonello Rizzi, Alireza Sadeghian, Fabio Massimo Frattale Mascioli |
| 2014 | IJCCI | Evolutionary Optimization of a One-Class Classification System for Faults Recognition in Smart Grids. | Enrico De Santis, Gianluca Distante, Fabio Massimo Frattale Mascioli, Alireza Sadeghian, Antonello Rizzi |
| 2014 | IJCCI | A Dissimilarity Learning Approach by Evolutionary Computation for Faults Recognition in Smart Grids. | Enrico De Santis, Fabio Massimo Frattale Mascioli, Alireza Sadeghian, Antonello Rizzi |
| 2014 | IJCNN | Fault recognition in smart grids by a one-class classification approach. | Enrico De Santis, Lorenzo Livi, Fabio Massimo Frattale Mascioli, Alireza Sadeghian, Antonello Rizzi |
| 2013 | IFSA | Genetic optimization of a fuzzy control system for energy flow management in micro-grids. | Enrico De Santis, Antonello Rizzi, Alireza Sadeghian, Fabio Massimo Frattale Mascioli |