Sergio Ferlito
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View article: Study of Cathode Materials for Na-Ion Batteries: Comparison Between Machine Learning Predictions and Density Functional Theory Calculations
Study of Cathode Materials for Na-Ion Batteries: Comparison Between Machine Learning Predictions and Density Functional Theory Calculations Open
Energy storage technologies have experienced significant advancements in recent decades, driven by the growing demand for efficient and sustainable energy solutions. The limitations associated with lithium’s supply chain, cost, and safety …
Future Low-Cost Urban Air Quality Monitoring Networks: Insights from the EU’s AirHeritage Project Open
The last decade has seen a significant growth in the adoption of low-cost air quality monitoring systems (LCAQMSs), mostly driven by the need to overcome the spatial density limitations of traditional regulatory grade networks. However, ur…
A Study on an IoT-Based SCADA System for Photovoltaic Utility Plants Open
Large-scale photovoltaic (PV) electricity production plants rely on reliable operation and maintenance (O&M) systems, often operated by means of supervisory control and data acquisition (SCADA) platforms aimed at limiting, as much as possi…
Concept Drift Mitigation in Low-Cost Air Quality Monitoring Networks Open
Future air quality monitoring networks will integrate fleets of low-cost gas and particulate matter sensors that are calibrated using machine learning techniques. Unfortunately, it is well known that concept drift is one of the primary cau…
Concept Drift Mitigation in Low-Cost Air Quality Monitoring Networks Open
Future air quality monitoring networks will include fleets of low-cost gas and particulate matter sensors calibrated using machine learning techniques. Unfortunately, it is well known that concept drift is one of the primary causes of loss…
A Global Multi-Unit Calibration as a Method for Large Scale IoT Particulate Matter Monitoring Systems Deployments Open
Scalable and effective calibration is a fundamental requirement for Low Cost Air Quality Monitoring Systems and will enable accurate and pervasive monitoring in cities. Suffering from environmental interferences and fabrication variance, t…
Correlating Air Pollution Concentrations and Vehicular Emissions in an Italian Roadway Tunnel by Means of Low Cost Sensors Open
There is an increasing scientific interest in studying vehicular traffic pollution in road tunnels. This is due both to the interest in evaluating the effect that the different polluting gases can have on the driving style of motorists and…
A State-of-Art-Review on Machine-Learning Based Methods for PV Open
In the current era, Artificial Intelligence (AI) is becoming increasingly pervasive with applications in several applicative fields effectively changing our daily life. In this scenario, machine learning (ML), a subset of AI techniques, pr…
Crowdsensing IoT Architecture for Pervasive Air Quality and Exposome Monitoring: Design, Development, Calibration, and Long-Term Validation Open
A pervasive assessment of air quality in an urban or mobile scenario is paramount for personal or city-wide exposure reduction action design and implementation. The capability to deploy a high-resolution hybrid network of regulatory grade …
Forecasting the working temperature of a concentrator photovoltaic module by using artificial neural network-based model Open
Nowadays, the estimation of the PhotoVoltaic (PV) power production systems is crucial for ensuring their economic feasibility as well as their proper sizing in order to avoid outages and guarantee quality and continuity of supply. The work…
Performance Analysis of Ecosole HCPV System Open
The aim of this work is to report the results of the main characterization activities carried out on the ECOSOLE HCPV prototypal plant realized by BECAR s.r.l. and installed at ENEA Research Center located at Portici in the south of Italy.…
Characterization and performance analysis of Ecosole HCPV system first prototype Open
This paper reports the results of an experimental campaign carried out by ENEA on an innovative CPV system, produced by BECAR srl within an European collaborative Project named ECOSOLE, and installed at ENEA Research Center of Portici. The…