MANSERVIGI, Lucrezia
 Distribuzione geografica
Continente #
NA - Nord America 2.745
AS - Asia 1.913
EU - Europa 1.533
SA - Sud America 467
AF - Africa 84
OC - Oceania 6
Totale 6.748
Nazione #
US - Stati Uniti d'America 2.636
SG - Singapore 874
CN - Cina 423
BR - Brasile 395
IT - Italia 388
DE - Germania 327
HK - Hong Kong 226
PL - Polonia 224
FI - Finlandia 148
VN - Vietnam 124
GB - Regno Unito 114
RU - Federazione Russa 76
CA - Canada 52
MX - Messico 47
ID - Indonesia 42
AT - Austria 41
UA - Ucraina 37
SE - Svezia 36
TR - Turchia 36
NL - Olanda 33
JP - Giappone 32
ZA - Sudafrica 30
IN - India 29
AR - Argentina 27
IE - Irlanda 22
DZ - Algeria 18
BD - Bangladesh 17
IQ - Iraq 15
MA - Marocco 14
MY - Malesia 14
BE - Belgio 13
ES - Italia 13
KR - Corea 13
PK - Pakistan 13
FR - Francia 12
VE - Venezuela 12
AE - Emirati Arabi Uniti 11
LT - Lituania 10
CH - Svizzera 8
CO - Colombia 8
IR - Iran 7
SA - Arabia Saudita 7
AU - Australia 6
CL - Cile 6
TN - Tunisia 6
UZ - Uzbekistan 6
CZ - Repubblica Ceca 5
EC - Ecuador 5
UY - Uruguay 5
GR - Grecia 4
KZ - Kazakistan 4
AL - Albania 3
BY - Bielorussia 3
CM - Camerun 3
EG - Egitto 3
JO - Giordania 3
KE - Kenya 3
PE - Perù 3
PY - Paraguay 3
RO - Romania 3
RS - Serbia 3
AM - Armenia 2
AO - Angola 2
BO - Bolivia 2
ET - Etiopia 2
JM - Giamaica 2
LB - Libano 2
LI - Liechtenstein 2
MD - Moldavia 2
NI - Nicaragua 2
NP - Nepal 2
PH - Filippine 2
TT - Trinidad e Tobago 2
AZ - Azerbaigian 1
BA - Bosnia-Erzegovina 1
BG - Bulgaria 1
DM - Dominica 1
DO - Repubblica Dominicana 1
EE - Estonia 1
GE - Georgia 1
GH - Ghana 1
HN - Honduras 1
IL - Israele 1
KG - Kirghizistan 1
KW - Kuwait 1
LV - Lettonia 1
MK - Macedonia 1
NG - Nigeria 1
OM - Oman 1
PA - Panama 1
PS - Palestinian Territory 1
SI - Slovenia 1
SR - Suriname 1
TH - Thailandia 1
TW - Taiwan 1
YT - Mayotte 1
Totale 6.748
Città #
Singapore 478
Ashburn 421
Santa Clara 233
Munich 223
Warsaw 220
Hong Kong 211
Fairfield 208
Beijing 180
Woodbridge 146
Ferrara 139
Chandler 122
Helsinki 107
Seattle 96
Cambridge 90
Wilmington 90
Houston 89
Los Angeles 70
Dallas 59
Milan 55
Ann Arbor 54
São Paulo 52
New York 43
Shanghai 42
Ho Chi Minh City 37
Princeton 32
Addison 31
Bremen 31
Jakarta 31
Vienna 31
Hefei 30
Boardman 29
Mexico City 26
Chicago 23
London 21
Brooklyn 20
Dublin 20
Izmir 20
Tokyo 19
Toronto 19
San Diego 18
Falkenstein 17
Hanoi 17
Padova 17
Jacksonville 16
Montreal 16
Turku 16
Amsterdam 15
Moscow 13
Nanjing 13
Rio de Janeiro 13
Belo Horizonte 12
Stockholm 12
Chennai 11
Johannesburg 11
Atlanta 10
Bologna 10
Brasília 10
Haiphong 10
Phoenix 10
Brussels 9
Frankfurt am Main 9
Lappeenranta 9
Manchester 9
Nuremberg 9
Poplar 9
Redwood City 9
Rome 9
San Francisco 9
Boston 8
Campinas 8
Jyväskylä 8
Algiers 7
Ankara 7
Palermo 7
The Dalles 7
Tianjin 7
Assago 6
Curitiba 6
Dearborn 6
Denver 6
Dong Ket 6
Grahamstown 6
Orem 6
Querétaro 6
Shenyang 6
Verona 6
Xi'an 6
Baghdad 5
Berlin 5
Cagliari 5
Calgary 5
Des Moines 5
Erbil 5
Goiânia 5
Jeddah 5
Montevideo 5
Norwalk 5
Peterborough 5
Reggio Emilia 5
Sydney 5
Totale 4.386
Nome #
Comparison of different approaches to predict the performance of pumps as turbines (PATs) 272
Energy production by means of pumps as turbines in water distribution networks 270
Machine Learning Approaches for the Prediction of Gas Turbine Transients 228
Concurrent Design and Operation Optimization of a Multi-Generation Energy System by Using a SMO-MILP Hybrid Algorithm 223
Development of a physics-based model to predict the performance of pumps as turbines 199
Development of a physics-based model to predict the performance of pumps as turbines (PATs) 183
Comparison of Different Approaches to Predict the Performance of Pumps As Turbines (PATs) 169
Prediction of Gas Turbine Trip by Combining Gas Path Measurements and Vibration Signals 167
Detection and Classification of Sensor Anomalies in Gas Turbine Field Data 163
Anomaly detection in gas turbine time series by means of Bayesian hierarchical models 163
A general diagnostic methodology for sensor fault detection, classification and overall health state assessment 158
Capability of the Bayesian Forecasting Method to Predict Field Timeseries 150
Application of a physics-based model to predict the performance curves of pumps as turbines 148
Structured Methodology for Clustering Gas Turbine Transients by means of Multi-variate Time Series 148
Capability of the Bayesian Forecasting Method to Predict Field Time Series 145
Detection and classification of fults and anomalies in gas turbine sensors by means of statistical filters and machine learning models 142
Autoregressive Bayesian Hierarchical Model to Predict Gas Turbine Degradation 136
A diagnostic approach for fault detection and identification in district heating networks 125
Anomaly Detection in Gas Turbine Time Series by Means of Bayesian Hierarchical Models 120
Analysis of a Multi-Generation Renewable Energy System with Hydrogen-Fueled Gas Turbine 116
Data Selection and Feature Engineering for the Application of Machine Learning to the Prediction of Gas Turbine Trip 113
Gas turbine health state prognostics by means of Bayesian hierarchical models 111
Prediction of compressor efficiency by means of Bayesian Hierarchical Models 111
Pressure management in water distribution networks by means of pumps as turbines: a case study in Northern Italy 107
Prediction of Gas Turbine Trip: a Novel Methodology based on Random Forest Models 107
Minimization of the primary energy consumption of residential users connected by means of an energy grid 106
Optimal selection of pumps as turbines for maximizing electrical energy production 103
Optimal Management of the Energy Flows of Interconnected Residential Users 100
Sizing and Operation of a Hybrid Energy Plant Composed of Industrial Gas Turbines, Renewable Energy Systems and Energy Storage Technologies 100
Optimal design and energy management of a renewable energy plant with seasonal energy storage 99
Detection of Unit of Measure Inconsistency by means of a Machine Learning Model 98
Statistical Rule Extraction for Gas Turbine Trip Prediction 94
Development and Validation of a General and Robust Methodology for the Detection and Classification of Gas Turbine Sensor Faults 94
Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data 93
Data-driven approach for the detection of faults in district heating networks 89
Gas turbine health state prognostics by means of Bayesian hierarchical models 89
Data-driven Generative Model Aimed to Create Synthetic Data for the Long-Term Forecast of Gas Turbine Operation 87
Impact of Climate Change on Solar PV Potential in Europe 86
Detection and identification of faults in a District Heating Network 85
Analysis of a Multi-Generation Renewable Energy System With Hydrogen-Fueled Gas Turbine 85
Validation of an advanced diagnostic methodology for the identification and classification of gas turbine sensor faults by means of field data 84
Optimal Classifier to Detect Unit of Measure Inconsistency in Gas Turbine Sensors 81
Structured Methodology for Clustering Gas Turbine Transients by Means of Multivariate Time Series 81
Analysis of Pumped Hydro Storage Using Mines as Hydro Reservoirs 80
Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data 78
Producible energy at the inlet point of a district by replacing a pressure reducing valve with a pump running in turbine mode 78
Optimal management with demand response program for a multi-generation energy system 74
Sizing and Operation of a Hybrid Energy Plant Composed of Industrial Gas Turbines, Renewable Energy Systems and Energy Storage Technologies 71
Ensemble Learning Approach to the Prediction of Gas Turbine Trip 69
Development and validation of a comprehensive methodology for predicting PAT performance curves 69
Optimal Selection and Operation of Pumps As Turbines for Maximizing Energy Recovery 67
Statistical Rule Extraction for Gas Turbine Trip Prediction 67
Application of Transfer Learning for the Prediction of Gas Turbine Trip 67
Hybrid diagnostic approach for the diagnosis of district heating networks 65
Detection of Unit of Measure Inconsistency in gas turbine sensors by means of Support Vector Machine classifier 61
Energy and Economic Optimization of the Design and Operation of Hybrid Energy Plants under Current and Future Economic Scenarios 60
Prediction of Gas Turbine Trip: A Novel Methodology Based on Random Forest Models 55
Optimization of a renewable energy plant with seasonal energy storage for the transition towards 100% renewable energy supply 52
Methodology to Monitor Early Warnings Before Gas Turbine Trip 52
Data-Driven Generative Model Aimed to Create Synthetic Data for the Long-Term Forecast of Gas Turbine Operation 49
Ensemble Learning Approach to the Prediction of Gas Turbine Trip 48
Unsupervised Methodology for the Prognostics of Gas Turbine Abrupt Faults 45
Fault diagnosis in district heating networks 43
Influence of the trigger time window on the detection of gas turbine trip 41
Methodology to Monitor Early Warnings Before Gas Turbine Trip 34
Optimization of sizing and operation of pumped hydro storage plants under current and future economic scenarios 19
Gas Turbine Diagnostics by Means of Convolutional Neural Networks Fed With Time Series Data Encoded as Images 7
Hydraulic and electrical regulations of pumps as turbines for energy recovery in water distribution networks: Energy and economic analysis 3
Encoding Multivariate Time Series of Gas Turbine Data as Images to Improve Fault Detection Reliability 2
Impact of climate change: challenges and opportunities for onshore wind energy in Europe 1
Totale 6.985
Categoria #
all - tutte 38.697
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 38.697


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021351 0 0 0 0 0 89 45 46 31 90 24 26
2021/2022405 48 18 17 5 32 22 20 60 15 28 49 91
2022/2023396 37 19 31 13 76 41 71 26 42 2 27 11
2023/2024381 27 40 36 10 16 15 8 29 8 14 42 136
2024/20252.141 55 89 139 124 251 214 213 167 276 250 243 120
2025/20262.351 551 209 357 551 608 75 0 0 0 0 0 0
Totale 6.985