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Affine Arithmetic-Based Methods for Uncertain Power System Analysis

1, 2022

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Condition Monitoring of Wind Turbine Systems by Explainable Artificial Intelligence Techniques

Sensors (Basel, Switzerland), 2023-06, Vol.23 (12), p.5376

2023

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Characterizing the Wake Effects on Wind Power Generator Operation by Data-Driven Techniques

Energies (Basel), 2023-08, Vol.16 (15), p.5818

2023

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Key Digital Trends in Artificial Intelligence and Robotics: Proceedings of 4th International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2022 - Progress in Algorithms and Applications of Deep Learning

1, 2023

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Interval Methods for Uncertain Power System Analysis

Vaccaro, Alfredo

1, 2023

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The Impact of Frequency Support by Wind Turbines on the Small-Signal Stability of Power Systems

Energies (Basel), 2022-11, Vol.15 (22), p.8470

2022

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Recent Advances in the Use of eXplainable Artificial Intelligence Techniques for Wind Turbine Systems Condition Monitoring

Electronics (Basel), 2023-08, Vol.12 (16), p.3509

2023

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Progresses in Artificial Intelligence & Robotics: Algorithms & Applications : Proceedings of 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR) 2021

2022

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An Interval Mathematic-Based Methodology for Reliable Resilience Analysis of Power Systems in the Presence of Data Uncertainties

Energies (Basel), 2020-12, Vol.13 (24), p.6632

2020

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Robust Optimization of Energy Hubs Operation Based on Extended Affine Arithmetic

Energies (Basel), 2019-06, Vol.12 (12), p.2420

2019

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Hierarchical Two-Layer Distributed Control Architecture for Voltage Regulation in Multiple Microgrids in the Presence of Time-Varying Delays

Energies (Basel), 2020-12, Vol.13 (24), p.6507

2020

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Enabling Technologies for Enhancing Power System Stability in the Presence of Converter-Interfaced Generators

Energies (Basel), 2022-10, Vol.15 (21), p.8064

2022

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Advances in Deep Learning, Artificial Intelligence and Robotics: Proceedings of the 2nd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2020

1, 2022

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A Decentralized Architecture Based on Cooperative Dynamic Agents for Online Voltage Regulation in Smart Grids

Energies (Basel), 2019-04, Vol.12 (7), p.1386

2019

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Review of Data-Driven Techniques for On-Line Static and Dynamic Security Assessment of Modern Power Systems

IEEE access, 2023, Vol.11, p.130644-130673

2023

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Enabling Methodologies for Predictive Power System Resilience Analysis in the Presence of Extreme Wind Gusts

Energies (Basel), 2020-07, Vol.13 (13), p.3501

2020

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A Digital Twin Approach for Improving Estimation Accuracy in Dynamic Thermal Rating of Transmission Lines

Energies (Basel), 2022-03, Vol.15 (6), p.2254

2022

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Advances in Energy Technology: Proceedings of ICAET 2020

1st Edition 2021, 2020

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A Review of the Enabling Methodologies for Knowledge Discovery from Smart Grids Data

Energies (Basel), 2020-12, Vol.13 (24), p.6579

2020

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Spatial and Temporal Wind Power Forecasting by Case-Based Reasoning Using Big-Data

Energies (Basel), 2017, Vol.10 (2), p.252-252

2017

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Adaptive Wind Generation Modeling by Fuzzy Clustering of Experimental Data

Electronics (Basel), 2018-04, Vol.7 (4), p.47

2018

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A Markov chain-based model for wind power prediction in congested electrical grids

Journal of engineering (Stevenage, England), 2019-07, Vol.2019 (18), p.4961-4964

2019

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Small-signal stability analysis of uncertain power systems via interval analysis

Electric power systems research, 2022-11, Vol.212, p.108339, Article 108339

2022

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A robust optimization approach to energy hub management

International journal of electrical power & energy systems, 2012-11, Vol.42 (1), p.98-104

2012

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Using fuzzy transform in multi-agent based monitoring of smart grids

Information sciences, 2017-05, Vol.388-389, p.209-224

2017

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Affine Arithmetic-Based Methods for Uncertain Power System Analysis

Condition Monitoring of Wind Turbine Systems by Explainable Artificial Intelligence Techniques

Characterizing the Wake Effects on Wind Power Generator Operation by Data-Driven Techniques

Key Digital Trends in Artificial Intelligence and Robotics: Proceedings of 4th International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2022 - Progress in Algorithms and Applications of Deep Learning

Interval Methods for Uncertain Power System Analysis

The Impact of Frequency Support by Wind Turbines on the Small-Signal Stability of Power Systems

Recent Advances in the Use of eXplainable Artificial Intelligence Techniques for Wind Turbine Systems Condition Monitoring

Progresses in Artificial Intelligence & Robotics: Algorithms & Applications : Proceedings of 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR) 2021

An Interval Mathematic-Based Methodology for Reliable Resilience Analysis of Power Systems in the Presence of Data Uncertainties

Robust Optimization of Energy Hubs Operation Based on Extended Affine Arithmetic

Hierarchical Two-Layer Distributed Control Architecture for Voltage Regulation in Multiple Microgrids in the Presence of Time-Varying Delays

Enabling Technologies for Enhancing Power System Stability in the Presence of Converter-Interfaced Generators

Advances in Deep Learning, Artificial Intelligence and Robotics: Proceedings of the 2nd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2020

A Decentralized Architecture Based on Cooperative Dynamic Agents for Online Voltage Regulation in Smart Grids

Review of Data-Driven Techniques for On-Line Static and Dynamic Security Assessment of Modern Power Systems

Enabling Methodologies for Predictive Power System Resilience Analysis in the Presence of Extreme Wind Gusts

A Digital Twin Approach for Improving Estimation Accuracy in Dynamic Thermal Rating of Transmission Lines

Advances in Energy Technology: Proceedings of ICAET 2020

A Review of the Enabling Methodologies for Knowledge Discovery from Smart Grids Data

Spatial and Temporal Wind Power Forecasting by Case-Based Reasoning Using Big-Data

Adaptive Wind Generation Modeling by Fuzzy Clustering of Experimental Data

A Markov chain-based model for wind power prediction in congested electrical grids

Small-signal stability analysis of uncertain power systems via interval analysis

A robust optimization approach to energy hub management

Using fuzzy transform in multi-agent based monitoring of smart grids

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