SIMON CAMAL
30
Documents
Présentation
Simon CAMAL received his Engineering degree in Energy and Environmental Engineering from Mines Nancy, France in 2010 and his European Master of Science in Renewable Energy from Loughborough University, UK in 2011. He obtained his PhD at MINES ParisTech - PSL University in 2020 on forecasting and optimization of ancillary service provision by renewable energy power plants. He received the 1st masculine prize from Think Smart Grids in 2021 and was co-awarded the EDP Labelec Merit Award in 2022. Research projects: Smart4RES (Horizon2020-RIA, 2019-2020), FINE4CAST (ANR-TASE, 2023-2027), AI-NRGY (ANR-TASE, 2023-2027).
He is working at MINES Paris Center for Processes, Renewable Energies and Energy Systems (PERSEE) in Sophia Antipolis, France. His scientific interests include data science, forecasting, optimization and control in power system applications.
Publications
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CRPS-based online learning for nonlinear probabilistic forecast combinationInternational Journal of Forecasting, inPress, ⟨10.1016/j.ijforecast.2023.12.005⟩
Article dans une revue
hal-04408320v1
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Stochastic Economic Model Predictive Control for Trading Energy and Ancillary Services with StorageSustainable Energy, Grids and Networks, 2024, pp.101373. ⟨10.1016/j.segan.2024.101373⟩
Article dans une revue
hal-03641708v1
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Prescriptive Trees for Integrated Forecasting and Optimization Applied in Trading of Renewable EnergyIEEE Transactions on Power Systems, 2022, ⟨10.1109/TPWRS.2022.3152667⟩
Article dans une revue
hal-03330017v3
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Reliable Provision of Ancillary Services from Aggregated Variable Renewable Energy Sources through Forecasting of Extreme QuantilesIEEE Transactions on Power Systems, 2022, pp.1-15. ⟨10.1109/TPWRS.2022.3198839⟩
Article dans une revue
hal-03759187v2
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Hierarchical Forecasting for the Management of Distribution Grids27th International Conference on Electricity Distribution (CIRED 2023), Jun 2023, Rome, Italy. pp.2233 - 2237, ⟨10.1049/icp.2023.1212⟩
Communication dans un congrès
hal-04210520v1
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Economic Model Predictive Control for the Energy Management Problem of a Virtual Power Plant Including Resources at Different Voltage Levels27th International Conference & Exhibition on Electricity Distribution (CIRED 2023), Jun 2023, Rome, Italy. pp.2044 - 2048, ⟨10.1049/icp.2023.1160⟩
Communication dans un congrès
hal-04210514v1
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Resilient Feature-driven Trading of Renewable Energy with Missing DataIEEE PES ISGT Europe 2023, IEEE Power & Energy Society (PES), Université Grenoble Alpes,, Oct 2023, Grenoble, France
Communication dans un congrès
hal-04210488v1
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Towards a paradigm of explainable AI applied in energy meteorologyEGU General Assembly 2023, EGU - European Geosciences Union, Apr 2023, Vienna & Online, Austria. ⟨10.5194/egusphere-egu23-13992⟩
Communication dans un congrès
hal-04217651v1
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Prescriptive Trees for Integrated Forecasting and Optimization Applied in Trading of Renewable Energy17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022, Jun 2022, Manchester - Online, United Kingdom
Communication dans un congrès
hal-03718662v1
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Highlight results of the Smart4RES project on weather modelling and forecasting dedicated to renewable energy applicationsEGU General Assembly 2022, May 2022, Vienna, Austria. pp.EGU22-12923, ⟨10.5194/egusphere-egu22-12923⟩
Communication dans un congrès
hal-03620444v1
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Short-term forecasting of renewable production trajectories at hightemporal resolutionEGU General Assembly 2022, May 2022, Vienna, Austria. pp.EGU22-12965, ⟨10.5194/egusphere-egu22-12965⟩
Communication dans un congrès
hal-03620441v1
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Advanced Model Predictive Control Strategies for the Provision of Energy and Ancillary Services by Wind Farms Coupled with StorageWindEurope Technology Workshop 2022, WindEurope, Jun 2022, Bruxelles, Belgium
Communication dans un congrès
hal-03710704v1
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Generalizing Renewable Energy Forecasting Using Automatic Feature Selection and Combination17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022, Jun 2022, Manchester - Online, United Kingdom. ⟨10.1109/PMAPS53380.2022.9810647⟩
Communication dans un congrès
hal-03638914v2
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Smart4RES next-generation forecasting solutions for single wind turbines up to aggregations and for different temporal scalesWindEurope Technology Workshop 2022, WindEurope, Jun 2022, Bruxelles, Belgium
Communication dans un congrès
hal-03710717v1
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End-to-end Learning for Hierarchical Forecasting of Renewable Energy Production with Missing Values17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022, Jun 2022, Manchester - Online, United Kingdom. ⟨10.1109/PMAPS53380.2022.9810610⟩
Communication dans un congrès
hal-03527644v3
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Seamless intra-day and day-ahead multivariate probabilistic forecasts at high temporal resolution17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022, Jun 2022, Manchester - Online, United Kingdom. ⟨10.1109/PMAPS53380.2022.9810606⟩
Communication dans un congrès
hal-03638925v1
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Interpretable data-driven solar power plant trading strategiesIEEE PES ISGT EUROPE 2022, Innovative Smart Grid Technologies Conference, Oct 2022, Novi Sad, Serbia. ⟨10.1109/ISGT-Europe54678.2022.9960432⟩
Communication dans un congrès
hal-03772848v1
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Forecasting the high-resolution variability of renewable production using advanced weather forecasting products17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022, Jun 2022, Manchester - Online, United Kingdom
Communication dans un congrès
hal-03718663v1
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Smart4RES: Improved weather modelling and forecasting dedicated to renewable energy applicationsEGU General Assembly 2021 - VEGU21, Apr 2021, Virtual Event, Germany. ⟨10.5194/egusphere-egu21-16219⟩
Communication dans un congrès
hal-03175332v1
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A Holistic Approach to Improve the Model & Value Chain of Renewable Energy Forecasting - The Smart4RES ProjectWind Europe Technology Workshop 2021 - "Resource Assessment & Analysis of Operating Wind Farms", Wind Europe, Sep 2021, Online, Belgium
Communication dans un congrès
hal-03528716v1
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Research directions and results in the Smart4RES project for improving renewable energy forecastingWind Energy Science Conference (WESC), European Academy of Wind Energy (EAWE), May 2021, Virtual Event, Germany
Communication dans un congrès
hal-03248217v1
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Smart4RES: Next generation solutions for renewable energy forecasting and applications with focus on distribution gridsCIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution, CIRED, Sep 2021, On line, Switzerland. pp.2899-2903, ⟨10.1049/icp.2021.1829⟩
Communication dans un congrès
hal-03531728v1
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Smart4RES: Towards next generation forecasting tools of renewable energy productionhttps://www.egu2020.eu/, European Geophysical Union (EGU), May 2020, On-line, Austria. ⟨10.5194/egusphere-egu2020-20205⟩
Communication dans un congrès
hal-02887072v1
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Forecasting regional wind production based on weather similarity and site clustering for the EEM20 Competition40th International Symposium on Forecasting, International Institute of Forecasters, Oct 2020, Virtual Event, Brazil
Communication dans un congrès
hal-03157849v1
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Probabilistic Forecasting of Regional Wind Power Generation for the EEM20 Competition: a Physics-oriented Machine Learning Approach17th European Energy Market Conference, EEM 2020, KTH, IEEE, Sep 2020, Stockholm (by visio), Sweden
Communication dans un congrès
hal-02952589v1
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Forecast trajectories for the production of a renewable virtual power plant able to provide ancillary serviceshttps://www.egu2020.eu/, European Geophysical Union (EGU), May 2020, (On-lines ), Austria. ⟨10.5194/egusphere-egu2020-19081⟩
Communication dans un congrès
hal-02887066v1
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Next Generation Forecasting Solutions for Wind Energy – Results from the Smart4RES ProjectWindEurope Annual Event 2023, Apr 2023, Copenhagen, Denmark. 2023
Poster de conférence
hal-04162071v1
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Improving probabilistic wind power forecasting: A novel nonlinear and online combination methodPoster de conférence hal-04217568v1 |
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Towards increased interpretability of AI-tools in the energy sector with focus on the wind energy trading applicationPoster de conférence hal-03768257v1 |
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Resilient Feature-driven Trading of Renewable Energy with Missing Data2023
Pré-publication, Document de travail
hal-04104548v1
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