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Wasserstein distributionally robust chance-constrained optimization for energy and reserve dispatch: An exact and physically-bounded formulation

European journal of operational research, 2022-01, Vol.296 (1), p.304-322

2022

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Machine Learning Techniques for Improving Self-Consumption in Renewable Energy Communities

Energies (Basel), 2020-09, Vol.13 (18), p.4892

2020

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Reliability Analysis of Cyber-Physical Energy Hubs: A Monte Carlo Approach

IEEE transactions on smart grid, 2024-01, Vol.15 (1), p.1-1

2024

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IEEE_Xplore

Recalibration of recurrent neural networks for short-term wind power forecasting

Electric power systems research, 2021-01, Vol.190, p.106639, Article 106639

2021

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Enhanced integration of flow-based market coupling in short-term adequacy assessment

Electric power systems research, 2021-12, Vol.201, p.107507, Article 107507

2021

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Deep Reinforcement Learning-Based Voltage Control to Deal with Model Uncertainties in Distribution Networks

Energies (Basel), 2020-08, Vol.13 (15), p.3928

2020

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New approach to determine the healthy immune variations by combining clustering methods

Scientific reports, 2021-04, Vol.11 (1), p.8917-8917, Article 8917

2021

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Robust Optimization for Hydroelectric System Operation Under Uncertainty

IEEE transactions on power systems, 2018-05, Vol.33 (3), p.3337-3348

2018

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IEEE_Xplore

Sizing of underwater gravity storage with solid weights participating in electricity markets

International transactions on electrical energy systems, 2020-10, Vol.30 (10), p.n/a

2020

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Automatic risk adjustment for profit maximization in renewable dominated short‐term electricity markets

International transactions on electrical energy systems, 2021-12, Vol.31 (12), p.n/a

2021

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Medium-Term Multimarket Optimization for Virtual Power Plants: A Stochastic-Based Decision Environment

IEEE transactions on power systems, 2018-03, Vol.33 (2), p.1399-1410

2018

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IEEE_Xplore

Influence of material uncertainties on the RLC parameters of wound inductors modeled using the finite element method

Open Physics, 2018-05, Vol.16 (1), p.227-231

2018

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Refinement of Homogenized Magnetodynamic Models of Wound Inductors Using Finite-Element Subproblems

IEEE transactions on magnetics, 2015-03, Vol.51 (3), p.1-4

2015

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IEEE_Xplore

Very-Short-Term Probabilistic Forecasting for a Risk-Aware Participation in the Single Price Imbalance Settlement

IEEE transactions on power systems, 2020-03, Vol.35 (2), p.1218-1230

2020

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IEEE_Xplore

Long-Term Planning of Connected Industrial Microgrids: A Game Theoretical Approach Including Daily Peer-to-Microgrid Exchanges

IEEE transactions on smart grid, 2019-03, Vol.10 (2), p.2245-2256

2019

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IEEE_Xplore

An advanced day-ahead bidding strategy for wind power producers considering confidence level on the real-time reserve provision

Applied energy, 2020-12, Vol.280, p.115973, Article 115973

2020

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Interpretable Transformer Model for Capturing Regime Switching Effects of Real-Time Electricity Prices

IEEE transactions on power systems, 2023-05, Vol.38 (3), p.2162-2176

2023

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IEEE_Xplore

Machine learning-assisted outage planning for maintenance activities in power systems with renewables

Energy (Oxford), 2022-01, Vol.238, p.121993, Article 121993

2022

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Embedding Dependencies Between Wind Farms in Distributionally Robust Optimal Power Flow

IEEE transactions on power systems, 2023-11, Vol.38 (6), p.1-14

2023

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IEEE_Xplore

Active Rectification For the Optimal Command of Bidirectional Resonant Wireless Power Transfer Robust to Severe Circuit Parameters Deviations

IEEE transactions on industry applications, 2020-03, Vol.56 (2), p.1640-1648

2020

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IEEE_Xplore

Cooperative demand-side management scenario for the low-voltage network in liberalised electricity markets

IET generation, transmission & distribution, 2018-12, Vol.12 (22), p.5990-5999

2018

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Supervised learning-assisted modeling of flow-based domains in European resource adequacy assessments

Applied energy, 2022-11, Vol.325, p.119875, Article 119875

2022

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A Preference-Informed Energy Sharing Framework for a Renewable Energy Community

IEEE transactions on energy markets, policy and regulation, 2024-06, p.1-16

2024

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IEEE_Xplore

A Multi-lens Approach to Smart City Planning: Philadelphia

Smart Cities, p.58-73

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A forecast-driven stochastic optimization method for proactive activation of manual reserves

Electric power systems research, 2024-10, Vol.235, p.110804, Article 110804

2024

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Wasserstein distributionally robust chance-constrained optimization for energy and reserve dispatch: An exact and physically-bounded formulation

Machine Learning Techniques for Improving Self-Consumption in Renewable Energy Communities

Reliability Analysis of Cyber-Physical Energy Hubs: A Monte Carlo Approach

Recalibration of recurrent neural networks for short-term wind power forecasting

Enhanced integration of flow-based market coupling in short-term adequacy assessment

Deep Reinforcement Learning-Based Voltage Control to Deal with Model Uncertainties in Distribution Networks

New approach to determine the healthy immune variations by combining clustering methods

Robust Optimization for Hydroelectric System Operation Under Uncertainty

Sizing of underwater gravity storage with solid weights participating in electricity markets

Automatic risk adjustment for profit maximization in renewable dominated short‐term electricity markets

Medium-Term Multimarket Optimization for Virtual Power Plants: A Stochastic-Based Decision Environment

Influence of material uncertainties on the RLC parameters of wound inductors modeled using the finite element method

Refinement of Homogenized Magnetodynamic Models of Wound Inductors Using Finite-Element Subproblems

Very-Short-Term Probabilistic Forecasting for a Risk-Aware Participation in the Single Price Imbalance Settlement

Long-Term Planning of Connected Industrial Microgrids: A Game Theoretical Approach Including Daily Peer-to-Microgrid Exchanges

An advanced day-ahead bidding strategy for wind power producers considering confidence level on the real-time reserve provision

Interpretable Transformer Model for Capturing Regime Switching Effects of Real-Time Electricity Prices

Machine learning-assisted outage planning for maintenance activities in power systems with renewables

Embedding Dependencies Between Wind Farms in Distributionally Robust Optimal Power Flow

Active Rectification For the Optimal Command of Bidirectional Resonant Wireless Power Transfer Robust to Severe Circuit Parameters Deviations

Cooperative demand-side management scenario for the low-voltage network in liberalised electricity markets

Supervised learning-assisted modeling of flow-based domains in European resource adequacy assessments

A Preference-Informed Energy Sharing Framework for a Renewable Energy Community

A Multi-lens Approach to Smart City Planning: Philadelphia

A forecast-driven stochastic optimization method for proactive activation of manual reserves

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