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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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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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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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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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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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Strategic Implicit Balancing with Energy Storage Systems via Stochastic Model Predictive Control

IEEE transactions on energy markets, policy and regulation, 2023-12, Vol.1 (4), p.1-14

2023

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Collecting New Peak and Intermediate Infliximab Levels to Predict Remission in Inflammatory Bowel Diseases

Inflammatory bowel diseases, 2022-02, Vol.28 (2), p.208-217

2022

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Non-linear hybrid approach for the scheduling of merchant underground pumped hydro energy storage

IET generation, transmission & distribution, 2019-11, Vol.13 (21), p.4798-4808

2019

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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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Logic-based explanations of imbalance price forecasts using boosted trees

Electric power systems research, 2024-10, Vol.235, p.110699, Article 110699

2024

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Predictive models assessing the response to ustekinumab highlight the value of therapeutic drug monitoring in Crohn’s disease

Digestive and liver disease, 2023-03, Vol.55 (3), p.366-372

2023

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Deep Learning-Based Multivariate Probabilistic Forecasting for Short-Term Scheduling in Power Markets

IEEE transactions on power systems, 2019-03, Vol.34 (2), p.1203-1215

2019

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Interpretable Probabilistic Forecasting of Imbalances in Renewable-Dominated Electricity Systems

IEEE transactions on sustainable energy, 2022-04, Vol.13 (2), p.1267-1277

2022

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Data-Driven Scheduling of Energy Storage in Day-Ahead Energy and Reserve Markets With Probabilistic Guarantees on Real-Time Delivery

IEEE transactions on power systems, 2021-07, Vol.36 (4), p.2815-2828

2021

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Capturing Spatio-Temporal Dependencies in the Probabilistic Forecasting of Distribution Locational Marginal Prices

IEEE transactions on smart grid, 2021-05, Vol.12 (3), p.2663-2674

2021

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A Distributionally Robust Framework for Improving the Provision of Passive Balancing Services

2021 IEEE Madrid PowerTech, 2021, p.1-6

2021

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Improved day-ahead predictions of load and renewable generation by optimally exploiting multi-scale dependencies

2017 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), 2017, p.1-5

2017

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Leveraging provision of frequency regulation services from wind generation by improving day-ahead predictions using LSTM neural networks

2018 IEEE International Energy Conference (ENERGYCON), 2018, p.1-6

2018

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

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

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

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

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

Strategic Implicit Balancing with Energy Storage Systems via Stochastic Model Predictive Control

Collecting New Peak and Intermediate Infliximab Levels to Predict Remission in Inflammatory Bowel Diseases

Non-linear hybrid approach for the scheduling of merchant underground pumped hydro energy storage

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

Logic-based explanations of imbalance price forecasts using boosted trees

Predictive models assessing the response to ustekinumab highlight the value of therapeutic drug monitoring in Crohn’s disease

Deep Learning-Based Multivariate Probabilistic Forecasting for Short-Term Scheduling in Power Markets

Interpretable Probabilistic Forecasting of Imbalances in Renewable-Dominated Electricity Systems

Data-Driven Scheduling of Energy Storage in Day-Ahead Energy and Reserve Markets With Probabilistic Guarantees on Real-Time Delivery

Capturing Spatio-Temporal Dependencies in the Probabilistic Forecasting of Distribution Locational Marginal Prices

A Distributionally Robust Framework for Improving the Provision of Passive Balancing Services

Improved day-ahead predictions of load and renewable generation by optimally exploiting multi-scale dependencies

Leveraging provision of frequency regulation services from wind generation by improving day-ahead predictions using LSTM neural networks

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