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Georges Kariniotakis
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Documents
Affiliations actuelles
- 214579
Identifiants chercheurs
- georges-kariniotakis
- ResearcherId : E-3507-2018
- 0000-0002-5261-0172
- Google Scholar : https://scholar.google.fr/citations?user=zkvmPRQAAAAJ&hl=fr
- IdRef : 118768484
Site web
- http://www.mines-paristech.fr/Services/Annuaire/georges-kariniotakis
Présentation
#### **Prof. MINES Paris, PSL University - Centre PERSEE**
#### **Head of Renewable Energies & SmartGrids Group (ERSEI)**
![](https://pbs.twimg.com/media/DQIzTFbXUAEZk8F.jpg:small)![](https://secure-ecsd.elsevier.com/covers/80/Tango2/large/9780081005040.jpg)
Publications
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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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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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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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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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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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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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