LOSI, ENZO
 Distribuzione geografica
Continente #
NA - Nord America 2.940
AS - Asia 2.300
EU - Europa 1.441
SA - Sud America 465
Continente sconosciuto - Info sul continente non disponibili 205
AF - Africa 100
OC - Oceania 6
Totale 7.457
Nazione #
US - Stati Uniti d'America 2.806
SG - Singapore 889
IT - Italia 441
CN - Cina 430
BR - Brasile 357
DE - Germania 304
VN - Vietnam 266
HK - Hong Kong 211
FI - Finlandia 150
BD - Bangladesh 130
GB - Regno Unito 103
JP - Giappone 89
CA - Canada 71
FR - Francia 70
RU - Federazione Russa 63
IE - Irlanda 54
IN - India 47
NL - Olanda 43
PL - Polonia 40
AT - Austria 39
ID - Indonesia 39
MX - Messico 39
AR - Argentina 37
ZA - Sudafrica 34
IQ - Iraq 31
TR - Turchia 26
SE - Svezia 25
UA - Ucraina 22
DZ - Algeria 20
VE - Venezuela 19
PK - Pakistan 18
AE - Emirati Arabi Uniti 16
CO - Colombia 16
MY - Malesia 16
SA - Arabia Saudita 16
ES - Italia 15
MA - Marocco 14
BE - Belgio 13
LT - Lituania 12
PH - Filippine 12
CL - Cile 10
EC - Ecuador 9
IR - Iran 9
KR - Corea 9
CH - Svizzera 8
JO - Giordania 8
AU - Australia 6
JM - Giamaica 6
NO - Norvegia 6
TN - Tunisia 6
UY - Uruguay 6
EG - Egitto 5
GR - Grecia 5
KE - Kenya 5
NG - Nigeria 5
RS - Serbia 5
CR - Costa Rica 4
KG - Kirghizistan 4
KZ - Kazakistan 4
PY - Paraguay 4
TH - Thailandia 4
UZ - Uzbekistan 4
AL - Albania 3
BY - Bielorussia 3
CM - Camerun 3
DO - Repubblica Dominicana 3
ET - Etiopia 3
MD - Moldavia 3
NP - Nepal 3
PA - Panama 3
PE - Perù 3
RO - Romania 3
AM - Armenia 2
AZ - Azerbaigian 2
BG - Bulgaria 2
BO - Bolivia 2
HN - Honduras 2
IL - Israele 2
LI - Liechtenstein 2
NI - Nicaragua 2
OM - Oman 2
SI - Slovenia 2
TW - Taiwan 2
YE - Yemen 2
AO - Angola 1
BA - Bosnia-Erzegovina 1
BB - Barbados 1
BH - Bahrain 1
CG - Congo 1
CW - ???statistics.table.value.countryCode.CW??? 1
CZ - Repubblica Ceca 1
DM - Dominica 1
EE - Estonia 1
GH - Ghana 1
GY - Guiana 1
KH - Cambogia 1
KW - Kuwait 1
LB - Libano 1
LV - Lettonia 1
MM - Myanmar 1
Totale 7.245
Città #
Ashburn 562
Singapore 546
San Jose 376
Santa Clara 226
Munich 213
Hong Kong 195
Beijing 159
Ferrara 112
Helsinki 107
Fairfield 92
Council Bluffs 88
Ho Chi Minh City 87
New York 83
Tokyo 79
Chandler 76
Los Angeles 75
Hanoi 62
Milan 58
Woodbridge 57
São Paulo 56
Dallas 54
Dublin 52
Lauterbourg 52
Houston 49
Wilmington 44
Shanghai 43
Cambridge 42
Seattle 42
Warsaw 35
Hefei 31
Vienna 29
London 27
Chicago 26
Mexico City 26
Boardman 24
Brooklyn 22
The Dalles 21
Toronto 21
Montreal 20
Addison 19
Bremen 19
Falkenstein 19
Jakarta 19
Princeton 19
Rome 19
Amsterdam 18
Haiphong 17
Bologna 16
Buffalo 16
Padova 16
Turku 16
Orem 15
Rio de Janeiro 15
Chennai 13
Da Nang 13
Johannesburg 13
Lappeenranta 13
Stockholm 13
Atlanta 12
Frankfurt am Main 12
Baghdad 11
Manchester 11
San Francisco 11
Brussels 10
Moscow 10
Phoenix 10
Poplar 10
Ankara 9
Belo Horizonte 9
Brasília 9
Nuremberg 9
Palermo 9
San Diego 9
Tianjin 9
Denver 8
Jyväskylä 8
Verona 8
Algiers 7
Amman 7
Charlotte 7
Jeddah 7
Turin 7
Assago 6
Boston 6
Erbil 6
Florence 6
Grahamstown 6
Hangzhou 6
Medellín 6
Ottawa 6
Redwood City 6
Stavanger 6
Xi'an 6
Ann Arbor 5
Berlin 5
Biên Hòa 5
Bắc Giang 5
Bắc Ninh 5
Cagliari 5
Campinas 5
Totale 4.597
Nome #
Machine Learning Approaches for the Prediction of Gas Turbine Transients 294
Concurrent Design and Operation Optimization of a Multi-Generation Energy System by Using a SMO-MILP Hybrid Algorithm 269
A general diagnostic methodology for sensor fault detection, classification and overall health state assessment 200
Prediction of Gas Turbine Trip by Combining Gas Path Measurements and Vibration Signals 199
Anomaly detection in gas turbine time series by means of Bayesian hierarchical models 192
Application of a physics-based model to predict the performance curves of pumps as turbines 184
Pressure management in water distribution networks by means of pumps as turbines: a case study in Northern Italy 180
Structured Methodology for Clustering Gas Turbine Transients by means of Multi-variate Time Series 175
Autoregressive Bayesian Hierarchical Model to Predict Gas Turbine Degradation 172
Data-driven methodologies for the diagnostics and prognostics of gas turbine health state 164
A diagnostic approach for fault detection and identification in district heating networks 163
Analysis of a Multi-Generation Renewable Energy System with Hydrogen-Fueled Gas Turbine 157
Data Selection and Feature Engineering for the Application of Machine Learning to the Prediction of Gas Turbine Trip 156
Data-driven approach for the detection of faults in district heating networks 149
Anomaly Detection in Gas Turbine Time Series by Means of Bayesian Hierarchical Models 149
Optimal Classifier to Detect Unit of Measure Inconsistency in Gas Turbine Sensors 146
Optimal selection of pumps as turbines for maximizing electrical energy production 146
Statistical Rule Extraction for Gas Turbine Trip Prediction 145
Analysis of Pumped Hydro Storage Using Mines as Hydro Reservoirs 142
Prediction of compressor efficiency by means of Bayesian Hierarchical Models 137
Gas turbine health state prognostics by means of Bayesian hierarchical models 134
Prediction of Gas Turbine Trip: a Novel Methodology based on Random Forest Models 132
Optimal design and energy management of a renewable energy plant with seasonal energy storage 132
Impact of Climate Change on Solar PV Potential in Europe 131
Detection and identification of faults in a District Heating Network 131
Data-driven Generative Model Aimed to Create Synthetic Data for the Long-Term Forecast of Gas Turbine Operation 129
Detection of Unit of Measure Inconsistency by means of a Machine Learning Model 128
Analysis of a Multi-Generation Renewable Energy System With Hydrogen-Fueled Gas Turbine 125
Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data 121
Optimal management with demand response program for a multi-generation energy system 120
Gas Turbine Diagnostics by Means of Convolutional Neural Networks Fed With Time Series Data Encoded as Images 120
Sizing and Operation of a Hybrid Energy Plant Composed of Industrial Gas Turbines, Renewable Energy Systems and Energy Storage Technologies 119
Gas turbine health state prognostics by means of Bayesian hierarchical models 113
Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data 112
Optimal Selection and Operation of Pumps As Turbines for Maximizing Energy Recovery 111
Hydraulic and electrical regulations of pumps as turbines for energy recovery in water distribution networks: Energy and economic analysis 111
Validation of an advanced diagnostic methodology for the identification and classification of gas turbine sensor faults by means of field data 111
Energy and Economic Optimization of the Design and Operation of Hybrid Energy Plants under Current and Future Economic Scenarios 107
Application of Transfer Learning for the Prediction of Gas Turbine Trip 106
Statistical Rule Extraction for Gas Turbine Trip Prediction 105
Development and Validation of a General and Robust Methodology for the Detection and Classification of Gas Turbine Sensor Faults 104
Structured Methodology for Clustering Gas Turbine Transients by Means of Multivariate Time Series 104
Data-Driven Generative Model Aimed to Create Synthetic Data for the Long-Term Forecast of Gas Turbine Operation 103
Hybrid diagnostic approach for the diagnosis of district heating networks 100
Development and validation of a comprehensive methodology for predicting PAT performance curves 98
Sizing and Operation of a Hybrid Energy Plant Composed of Industrial Gas Turbines, Renewable Energy Systems and Energy Storage Technologies 96
Ensemble Learning Approach to the Prediction of Gas Turbine Trip 91
Optimization of a renewable energy plant with seasonal energy storage for the transition towards 100% renewable energy supply 87
Detection of Unit of Measure Inconsistency in gas turbine sensors by means of Support Vector Machine classifier 87
Prediction of Gas Turbine Trip: A Novel Methodology Based on Random Forest Models 84
Methodology to Monitor Early Warnings Before Gas Turbine Trip 84
Ensemble Learning Approach to the Prediction of Gas Turbine Trip 81
Optimization of sizing and operation of pumped hydro storage plants under current and future economic scenarios 80
Fault diagnosis in district heating networks 73
Unsupervised Methodology for the Prognostics of Gas Turbine Abrupt Faults 65
Methodology to Monitor Early Warnings Before Gas Turbine Trip 63
Influence of the trigger time window on the detection of gas turbine trip 57
Gas Turbine Diagnostics by Means of Convolutional Neural Networks Fed With Time Series Data Encoded as Images 50
Encoding Multivariate Time Series of Gas Turbine Data as Images to Improve Fault Detection Reliability 33
Totale 7.457
Categoria #
all - tutte 37.604
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 37.604


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/2022240 33 4 4 0 29 16 13 45 10 14 16 56
2022/2023273 25 19 19 8 51 25 54 17 28 2 19 6
2023/2024333 27 30 31 11 13 15 6 29 7 13 42 109
2024/20251.816 55 78 109 90 200 174 189 159 236 219 211 96
2025/20264.192 471 188 292 478 532 243 546 230 351 377 326 158
2026/2027177 177 0 0 0 0 0 0 0 0 0 0 0
Totale 7.457