activity
20142025
most citedAn overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting

280 citations · 713 across the 18 of their papers we have counts for

collaborators

19 papers

cs.AI2025★ 1 cited

Noosemia: toward a Cognitive and Phenomenological Account of Intentionality Attribution in Human-Generative AI Interaction

Enrico De Santis, Antonello Rizzi

This paper introduces and formalizes Noosemìa, a novel cognitive-phenomenological pattern emerging from human interaction with generative AI systems, particularly those enabling di…

cs.CY2024★ 3 cited

An Online Hierarchical Energy Management System for Energy Communities, Complying with the Current Technical Legislation Framework

Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli +1

Efforts in the fight against Climate Change are increasingly oriented towards new energy efficiency strategies in Smart Grids (SGs). In 2018, with proper legislation, the European…

cs.DC2017

A novel algorithm for online inexact string matching and its FPGA implementation

Alessandro Cinti, Filippo Maria Bianchi, Alessio Martino +1

Accelerating inexact string matching procedures is of utmost importance when dealing with practical applications where huge amount of data must be processed in real time, as usual…

cs.DS2017★ 42 cited

Identifying user habits through data mining on call data records

Filippo Maria Bianchi, Antonello Rizzi, Alireza Sadeghian +1

In this paper we propose a framework for identifying patterns and regularities in the pseudo-anonymized Call Data Records (CDR) pertaining a generic subscriber of a mobile operator…

cs.NE2017★ 280 cited

An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting

Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer +2

The key component in forecasting demand and consumption of resources in a supply network is an accurate prediction of real-valued time series. Indeed, both service interruptions an…

cs.AI2016★ 88 cited

A Hierarchical Genetic Optimization of a Fuzzy Logic System for Flow Control in Micro Grids

Enrico De Santis, Antonello Rizzi, Alireza Sadeghian

Bio-inspired algorithms like Genetic Algorithms and Fuzzy Inference Systems (FIS) are nowadays widely adopted as hybrid techniques in commercial and industrial environment. In this…