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Application of a physics-based model to predict the performance curves of pumps as turbines

AIP Conference Proceedings, 2019, Vol.2191 (1)

2019

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Prediction of compressor efficiency by means of Bayesian Hierarchical Models

AIP Conference Proceedings, 2019, Vol.2191 (1)

2019

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Optimal Selection and Operation of Pumps as Turbines for Maximizing Energy Recovery

Water (Basel), 2023-12, Vol.15 (23), p.4123

2023

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Optimal management with demand response program for a multi-generation energy system

Energy conversion and management. X, 2022-12, Vol.16, p.100311, Article 100311

2022

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Optimal selection of pumps as turbines for maximizing electrical energy production

E3S Web of Conferences, 2021-01, Vol.238, p.1005

2021

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Optimal Classifier to Detect Unit of Measure Inconsistency in Gas Turbine Sensors

Machines (Basel), 2022-04, Vol.10 (4), p.228

2022

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Optimal design and energy management of a renewable energy plant with seasonal energy storage

E3S Web of Conferences, 2021-01, Vol.238, p.2002

2021

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Methodology to Monitor Early Warnings Before Gas Turbine Trip

Journal of engineering for gas turbines and power, 2024-05, Vol.146 (5)

2024

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Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data

Journal of engineering for gas turbines and power, 2023-03, Vol.145 (3)

2023

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Optimization of a renewable energy plant with seasonal energy storage for the transition towards 100% renewable energy supply

Renewable energy, 2022-10, Vol.198, p.1296-1306

2022

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Gas Turbine Health State Prognostics by Means of Bayesian Hierarchical Models

Journal of engineering for gas turbines and power, 2019-11, Vol.141 (11)

2019

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Ensemble Learning Approach to the Prediction of Gas Turbine Trip

Journal of engineering for gas turbines and power, 2023-02, Vol.145 (2)

2023

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A diagnostic approach for fault detection and identification in district heating networks

Energy (Oxford), 2022-07, Vol.251, p.123988, Article 123988

2022

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Development and validation of a comprehensive methodology for predicting PAT performance curves

Energy (Oxford), 2023-07, Vol.274, p.127366, Article 127366

2023

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Prediction of Gas Turbine Trip: A Novel Methodology Based on Random Forest Models

Journal of engineering for gas turbines and power, 2022-03, Vol.144 (3)

2022

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Statistical Rule Extraction for Gas Turbine Trip Prediction

Journal of engineering for gas turbines and power, 2023-05, Vol.145 (5)

2023

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Detection and identification of faults in a District Heating Network

Energy conversion and management, 2022-08, Vol.266, p.115837, Article 115837

2022

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Data-driven approach for the detection of faults in district heating networks

Sustainable Energy, Grids and Networks, 2024-06, Vol.38, p.101355, Article 101355

2024

Volltextzugriff (PDF)

Anomaly Detection in Gas Turbine Time Series by Means of Bayesian Hierarchical Models

Journal of engineering for gas turbines and power, 2019-11, Vol.141 (11)

2019

Volltextzugriff (PDF)

Structured Methodology for Clustering Gas Turbine Transients by Means of Multivariate Time Series

Journal of engineering for gas turbines and power, 2021-03, Vol.143 (3)

2021

Volltextzugriff (PDF)

Analysis of a Multi-Generation Renewable Energy System With Hydrogen-Fueled Gas Turbine

Journal of engineering for gas turbines and power, 2022-11, Vol.144 (11)

2022

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Sizing and Operation of a Hybrid Energy Plant Composed of Industrial Gas Turbines, Renewable Energy Systems, and Energy Storage Technologies

Journal of engineering for gas turbines and power, 2021-06, Vol.143 (6)

2021

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Development and Validation of a General and Robust Methodology for the Detection and Classification of Gas Turbine Sensor Faults

Journal of engineering for gas turbines and power, 2020-02, Vol.142 (2)

2020

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Detection of Unit of Measure Inconsistency in gas turbine sensors by means of Support Vector Machine classifier

ISA transactions, 2022-04, Vol.123, p.323-338

2022

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Machine Learning Approaches for the Prediction of Gas Turbine Transients

Journal of computer science, 2024-05, Vol.20 (5), p.495-510

2024

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Application of a physics-based model to predict the performance curves of pumps as turbines

Prediction of compressor efficiency by means of Bayesian Hierarchical Models

Optimal Selection and Operation of Pumps as Turbines for Maximizing Energy Recovery

Optimal management with demand response program for a multi-generation energy system

Optimal selection of pumps as turbines for maximizing electrical energy production

Optimal Classifier to Detect Unit of Measure Inconsistency in Gas Turbine Sensors

Optimal design and energy management of a renewable energy plant with seasonal energy storage

Methodology to Monitor Early Warnings Before Gas Turbine Trip

Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data

Optimization of a renewable energy plant with seasonal energy storage for the transition towards 100% renewable energy supply

Gas Turbine Health State Prognostics by Means of Bayesian Hierarchical Models

Ensemble Learning Approach to the Prediction of Gas Turbine Trip

A diagnostic approach for fault detection and identification in district heating networks

Development and validation of a comprehensive methodology for predicting PAT performance curves

Prediction of Gas Turbine Trip: A Novel Methodology Based on Random Forest Models

Statistical Rule Extraction for Gas Turbine Trip Prediction

Detection and identification of faults in a District Heating Network

Data-driven approach for the detection of faults in district heating networks

Anomaly Detection in Gas Turbine Time Series by Means of Bayesian Hierarchical Models

Structured Methodology for Clustering Gas Turbine Transients by Means of Multivariate Time Series

Analysis of a Multi-Generation Renewable Energy System With Hydrogen-Fueled Gas Turbine

Sizing and Operation of a Hybrid Energy Plant Composed of Industrial Gas Turbines, Renewable Energy Systems, and Energy Storage Technologies

Development and Validation of a General and Robust Methodology for the Detection and Classification of Gas Turbine Sensor Faults

Detection of Unit of Measure Inconsistency in gas turbine sensors by means of Support Vector Machine classifier

Machine Learning Approaches for the Prediction of Gas Turbine Transients

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