Mots-clés
Prix & distinctions
- 2025 Classement Stanford University 2025 : Georges Kariniotakis fait cette année encore partie des chercheurs de l’Ecole classés dans le classement établi par l’Université de Stanford qui recense les 2% des chercheurs les plus cités dans leur domaine
- 2011 Nomination au grade de membre senior de l'IEEE
Équipe
ERSEI - Energies Renouvelables et Systèmes Energétiques Intelligents
Biographie
Georges Kariniotakis est un chercheur spécialisé dans les systèmes énergétiques et l’intégration des énergies renouvelables. Ses travaux se concentrent sur l’optimisation des réseaux électriques, la modélisation des ressources énergétiques distribuées et l’application de méthodes avancées d’apprentissage automatique pour améliorer la prise de décision dans les marchés de l’électricité. Ses recherches abordent des enjeux clés tels que la prévision probabiliste, la gestion des incertitudes liées aux énergies intermittentes, et l’optimisation conjointe de sources hybrides (hydraulique, éolien, solaire). Il explore également des approches innovantes comme l’apprentissage axé sur la décision (decision-focused learning) pour aligner les modèles prédictifs avec les objectifs opérationnels des gestionnaires de réseaux. Ses contributions incluent des méthodologies distribuées pour la co-optimisation des enchères énergétiques, des stratégies de contrôle prédictif économique pour les centrales virtuelles, et des solutions préservant la confidentialité des données dans les systèmes collaboratifs. Ses travaux s’appuient sur des benchmarks ouverts et des validations empiriques, visant à concilier performance technique, faisabilité industrielle et résilience face aux aléas des systèmes énergétiques modernes.
Publication(s)
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2026
Decision-Focused Learning for Power System Decision-Making Under Uncertainty DOI : 10.1109/TPWRS.2025.3597806
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2025
A Scenario-Spatial Decomposition Approach With a Performance Guarantee for the Combined Bidding of Cascaded Hydropower and Renewables DOI : 10.1109/TPWRS.2025.3638005
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2025
Federated Learning with Mixed Encryption for Distributed Energy Resources: Forecasting Electricity Charging Demand at Multiple Electrical Vehicle Charging Stations DOI : 10.1109/PowerTech59965.2025.11180597
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2024
Distributed economic model predictive control for the joint energy dispatch of wind farms and run-of-the-river hydropower plants DOI : 10.1016/j.epsr.2024.110805
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2024
Interpretable Machine Learning for DC Optimal Power Flow With Feasibility Guarantees DOI : 10.1109/TPWRS.2023.3333165
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2024
Stochastic economic model predictive control for renewable energy and ancillary services trading with storage DOI : 10.1016/j.segan.2024.101373
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2024
CRPS-based online learning for nonlinear probabilistic forecast combination DOI : 10.1016/j.ijforecast.2023.12.005
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2024
Assessing the relative impacts of maximum investment rate and temporal detail in capacity expansion models applied to power systems DOI : 10.1016/j.energy.2024.130231
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2024
Multivariate federated tree-based forecasting combining resilience and privacy: Application to distributed energy resources DOI : 10.1016/j.epsr.2024.110730
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2024
Exploring the Interdependence of Vertical Extrapolation Uncertainties in Repowering Wind Farms DOI : 10.1088/1742-6596/2767/9/092009
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2024
Towards Resilient Energy Forecasting: A Robust Optimization Approach DOI : 10.1109/TSG.2023.3272379
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2023
Reliable Provision of Ancillary Services from Aggregated Variable Renewable Energy Sources Through Forecasting of Extreme Quantiles DOI : 10.1109/TPWRS.2022.3198839
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2023
Vulnerability and Impact of Machine Learning-Based Inertia Forecasting Under Cost-Oriented Data Integrity Attack DOI : 10.1109/TSG.2022.3207517
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2023
ECONOMIC MODEL PREDICTIVE CONTROL FOR THE ENERGY MANAGEMENT PROBLEM OF A VIRTUAL POWER PLANT INCLUDING RESOURCES AT DIFFERENT VOLTAGE LEVELS DOI : 10.1049/icp.2023.1160
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2023
Integrating thermal properties and degradation modelling of batteries into the scheduling of hybrid power plants with photovoltaics DOI : 10.1016/j.est.2023.108782
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2023
Resilient Feature-driven Trading of Renewable Energy with Missing Data DOI : 10.1109/ISGTEUROPE56780.2023.10408186
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2023
HIERARCHICAL FORECASTING FOR THE MANAGEMENT OF DISTRIBUTION GRIDS DOI : 10.1049/icp.2023.1212
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2023
Analysis of the systematic errors of energy yield assessment in the context of wind farm repowering DOI : 10.1088/1742-6596/2507/1/012016
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2022
Data-driven structural modeling of electricity price dynamics DOI : 10.1016/j.eneco.2022.105811
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2022
Identification and quantification of the flexibility potential of a complex industrial process for ancillary services provision DOI : 10.1016/j.epsr.2022.108396
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2022
Guest Editorial for the Special Section on Advances in Renewable Energy Forecasting: Predictability, Business Models and Applications in the Power Industry DOI : 10.1109/TSTE.2022.3157009
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2022
Forecasting for the Weather Driven Energy System – A new Task under IEA Wind DOI : 10.1049/icp.2022.2830
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2022
A generic methodology to efficiently integrate weather information in short-term Photovoltaic generation forecasting models DOI : 10.1016/j.solener.2022.08.042
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2022
Interpretable data-driven solar power plant trading strategies DOI : 10.1109/ISGT-Europe54678.2022.9960432
- 2022
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2022
Prescriptive Trees for Integrated Forecasting and Optimization Applied in Trading of Renewable Energy DOI : 10.1109/TPWRS.2022.3152667
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2022
End-to-end Learning for Hierarchical Forecasting of Renewable Energy Production with Missing Values DOI : 10.1109/PMAPS53380.2022.9810610
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2022
Seamless intra-day and day-ahead multivariate probabilistic forecasts at high temporal resolution DOI : 10.1109/PMAPS53380.2022.9810606
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2022
Generalizing Renewable Energy Forecasting Using Automatic Feature Selection and Combination DOI : 10.1109/PMAPS53380.2022.9810647
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2021
SHORT-TERM PHOTOVOLTAIC GENERATION FORECASTING ENHANCED BY SATELLITE DERIVED IRRADIANCE DOI : 10.1049/icp.2021.1864
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2021
Photovoltaic power forecasting: Assessment of the impact of multiple sources of spatio-temporal data on forecast accuracy DOI : 10.3390/en14051432
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2021
STATE OF CHARGE AND THERMAL-RELATED DETERIORATION PREDICTION FOR LI-ION STORAGE SYSTEMS IN HYBRID PHOTOVOLTAIC SYSTEMS IN THE ISLAND OF CORSICA DOI : 10.1049/icp.2021.1793
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2021
Smart4RES: Next generation solutions for renewable energy forecasting and applications with focus on distribution grids DOI : 10.1049/icp.2021.1829
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2021
Data Science for Next Generation Renewable Energy Forecasting - Highlight Results from the Smart4RES Project DOI : 10.1049/icp.2021.2499
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2021
IMPACT OF TRANSFORMER AND CABLE AGING ON DISTRIBUTION LOCATIONAL MARGINAL COSTS IN ACTIVE DISTRIBUTION NETWORKS DOI : 10.1049/icp.2021.1735
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2021
A Value-Oriented Price Forecasting Approach to Optimize Trading of Renewable Generation DOI : 10.1109/PowerTech46648.2021.9494832
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2021
IEA Wind Task 36 Forecasting for Wind Energy
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2021
SCHEDULING THE CHARGE OF ELECTRIC VEHICLES INCLUDING REACTIVE POWER SUPPORT: APPLICATION TO A MEDIUM-VOLTAGE GRID DOI : 10.1049/icp.2021.1680
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2021
IEA Wind Task 36 – Forecast Improvements
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2021
Games and other News from IEA Wind Task 36 Forecasting for Wind Energy DOI : 10.1049/icp.2021.2605
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2021
Smart4RES: Next generation solutions for renewable energy forecasting and its applications with focus on wind power forecasting
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2021
Forecasting and Market Design Advances: Supporting an Increasing Share of Renewable Energy DOI : 10.1109/MPE.2021.3104132
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2021
Smart Charging, Vehicle-to-Grid, and Reactive Power Support from Electric Vehicles in Distribution Grids: A Performance Comparison DOI : 10.1109/ISGTEurope52324.2021.9639954
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2020
Probabilistic Forecasting of Regional Wind Power Generation for the EEM20 Competition: A Physics-oriented Machine Learning Approach DOI : 10.1109/EEM49802.2020.9221960
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2020
Short-term Forecasting of Photovoltaic Generation based on Conditioned Learning of Geopotential Fields DOI : 10.1109/UPEC49904.2020.9209858
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2020
Quantifying power system flexibility provision DOI : 10.1016/j.apenergy.2020.115852
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2020
A Novel Approach for Seamless Probabilistic Photovoltaic Power Forecasting Covering Multiple Time Frames DOI : 10.1109/TSG.2019.2951288
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2020
Joint optimization of building-envelope and heating-system retrofits at territory scale to enhance decision-aiding DOI : 10.1016/j.apenergy.2020.114639
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2020
Extreme quantiles dynamic line rating forecasts and application on network operation DOI : 10.3390/en13123090
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2020
Optimal Participation of Residential Aggregators in Energy and Local Flexibility Markets DOI : 10.1109/TSG.2019.2941687
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2020
Special Issue on Advanced Approaches and Applications for Electric Vehicle Charging Demand Management DOI : 10.1109/TIA.2020.3003567
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2020
Strategies for combined operation of PV/ storage systems integrated into electricity markets DOI : 10.1049/iet-rpg.2019.0375
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2019
Simulation of day-Ahead electricity market prices using a statistically calibrated structural model DOI : 10.1109/EEM.2019.8916273
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2019
Scenario generation of aggregated Wind, Photovoltaics and small Hydro production for power systems applications DOI : 10.1016/j.apenergy.2019.03.112
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2019
Optimal Dynamic Line Rating Forecasts Selection Based on Ampacity Probabilistic Forecasting and Network Operators' Risk Aversion DOI : 10.1109/TPWRS.2018.2889973
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2019
Overhead lines Dynamic Line rating based on probabilistic day-ahead forecasting and risk assessment DOI : 10.1016/j.ijepes.2019.03.043
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2019
Incorporating flexibility options into distribution grid reinforcement planning: A techno-economic framework approach DOI : 10.1016/j.apenergy.2019.113662
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2019
An Integrated Approach for Value-Oriented Energy Forecasting and Data-Driven Decision-Making Application to Renewable Energy Trading DOI : 10.1109/TSG.2019.2914379
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2019
Retrofitting a building stock: Modeling and optimization for decision aiding at territory scale DOI : 10.1088/1742-6596/1343/1/012029
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2019
Multi-temporal assessment of power system flexibility requirement DOI : 10.1016/j.apenergy.2019.01.198
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2019
Comparative analysis of adjustable robust optimization alternatives for the participation of aggregated residential prosumers in electricity markets DOI : 10.3390/en12061019
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2019
Modeling and forecasting electric vehicle consumption profiles DOI : 10.3390/en12071341
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2019
Probabilistic Models for Spatio-Temporal Photovoltaic Power Forecasting DOI : 10.1109/TSTE.2018.2847558
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2018
Robust optimization for day-ahead market participation of smart-home aggregators DOI : 10.1016/j.apenergy.2018.07.120
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2018
Robust day-ahead forecasting of household electricity demand and operational challenges DOI : 10.3390/en11123503
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2018
A stochastic optimal power flow for scheduling flexible resources in microgrids operation DOI : 10.1016/j.apenergy.2018.07.114
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2018
Optimal offer of automatic frequency restoration reserve from a combined PV/Wind Virtual Power Plant DOI : 10.1109/TPWRS.2018.2847239
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2018
Stochastic operation of home energy management systems including battery cycling DOI : 10.1016/j.apenergy.2018.04.130
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2018
Day-Ahead management of smart homes considering uncertainty and grid flexibilities DOI : 10.1049/cp.2018.1894
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2018
Short-Term Spatio-Temporal Forecasting of Photovoltaic Power Production DOI : 10.1109/TSTE.2017.2747765
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2018
Optimal sizing and placement of distribution grid connected battery systems through an SOCP optimal power flow algorithm DOI : 10.1016/j.apenergy.2017.09.008
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2018
An address-matching algorithm for household-scale databases to enhance electricity demand characterization DOI : 10.1049/cp.2018.1893
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2018
Storage sizing for grid connected hybrid wind and storage power plants taking into account forecast errors autocorrelation DOI : 10.1016/j.renene.2017.10.070
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2018
Understanding the Benefits of Dynamic Line Rating Under Multiple Sources of Uncertainty DOI : 10.1109/TPWRS.2017.2786470
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2017
Residential electrical and thermal storage optimisation in a market environment DOI : 10.1049/oap-cired.2017.1086
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2017
Fractal Grid - towards the future smart grid DOI : 10.1049/oap-cired.2017.1236
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2017
Long-term forecast of local electrical demand and evaluation of future impacts on the electricity distribution network DOI : 10.1049/oap-cired.2017.0743
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2017
Probabilistic day-ahead forecasting of household electricity demand DOI : 10.1049/oap-cired.2017.0625
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2017
Challenges, innovative architectures and control strategies for future networks: the Web-of-Cells, fractal grids and other concepts DOI : 10.1049/oap-cired.2017.1287
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2017
The role of predictability in the investment phase of wind farms DOI : 10.1016/B978-0-08-100504-0.00014-7
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2017
Wind power forecasting-a review of the state of the art DOI : 10.1016/B978-0-08-100504-0.00003-2
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2017
A generic GIS-based method for small Pumped Hydro Energy Storage (PHES) potential evaluation at large scale DOI : 10.1016/j.apenergy.2017.03.103
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2017
Optimal scheduling of storage devices in smart buildings including battery cycling DOI : 10.1109/PTC.2017.7981199
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2017
Renewable energy forecasting: From models to applications
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2017
Short-term forecast of automatic frequency restoration reserve from a renewable energy based virtual power plant DOI : 10.1109/ISGTEurope.2017.8260311
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2017
Towards improved understanding of the applicability of uncertainty forecasts in the electric power industry DOI : 10.3390/en10091402
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2016
An optimisation algorithm for matching large scale databases on customers for improved characterisation of electricity consumption
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2016
Wind power forecasting: IEA Wind Task 36 & future research issues DOI : 10.1088/1742-6596/753/3/032042
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2016
Dynamic line rating day-ahead forecasts - Cost benefit based selection of the optimal quantile DOI : 10.1049/cp.2016.0722
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2016
Multi-temporal optimal power flow for assessing the renewable generation hosting capacity of an active distribution system DOI : 10.1109/TDC.2016.7520043
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2016
Sensitivity analysis in the technical potential assessment of onshore wind and ground solar photovoltaic power resources at regional scale DOI : 10.1016/j.apenergy.2016.08.075
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2015
An edge model for the evaluation of wind power ramps characterization approaches DOI : 10.1002/we.1753
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2015
The "Weather intelligence for renewable energies" benchmarking exercise on short-term forecasting of wind and solar power generation DOI : 10.3390/en8099594
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2014
A robust investment strategy for generation capacity in an uncertain demand and renewable penetration environment DOI : 10.1109/EEM.2014.6861240
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2014
A novel approach for electric load curve holistic modelling and simulation
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2014
The Nice Grid project : Using distributed energy resources to reduce power demand through advanced network management
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2014
Fast dynamic programming with application to storage planning
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2014
An integrated approach for optimal coordination of wind power and hydro pumping storage DOI : 10.1002/we.1600
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2013
A novel methodology for comparison of different wind power ramp characterization approaches
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2013
The impact of available data history on the performance of photovoltaic generation forecasting models DOI : 10.1049/cp.2013.0971
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2013
The impact of electricity market schemes on predictability being a decision factor in the wind farm investment phase ewea 2013 conference proceedings
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2013
Microgrids control issues DOI : 10.1002/9781118720677.ch2
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2013
Pilot sites: Success stories and learnt lessons DOI : 10.1002/9781118720677.ch6
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2013
Impact of PV forecasts uncertainty in batteries management in microgrids DOI : 10.1109/PTC.2013.6652254
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2013
The value of schedule update frequency on distributed energy storage performance in renewable energy integration DOI : 10.1109/ISGTEurope.2013.6695299
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2013
Forecasting ramps of wind power production with numerical weather prediction ensembles DOI : 10.1002/we.526
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2013
Assessment of wind power predictability as a decision factor in the investment phase of wind farms DOI : 10.1016/j.apenergy.2012.06.064
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2012
A local energy management system for solar integration and improved security of supply: The Nice Grid project DOI : 10.1109/ISGTEurope.2012.6465667
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2010
Forecasting uncertainty related to ramps of wind power production
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2010
Safewind : Multi-scale data assimilation, advanced wind modelling & forecasting with emphasis to extreme weather situations
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2010
Anemos.Plus: Demonstration of new approaches for the optimal management of wind generation in power systems & markets
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2010
Wind power prediction risk indices based on numerical weather prediction ensembles
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2010
Resolution enhancement of input parameters in a demand side management model DOI : 10.1109/PMAPS.2010.5528403
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2010
Conditional prediction intervals of wind power generation DOI : 10.1109/TPWRS.2010.2045774
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2009
Strategies for wind power trading in sequential short-term electricity markets
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2009
Prediction of waves, wakes and offshore wind - The results of the POW'WOW project
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2009
Safe wind wind power forecasting for extreme situations
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2009
Risk-based strategies for wind/pumped-hydro coordination under electricity markets DOI : 10.1109/PTC.2009.5282276
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2009
Skill forecasting from ensemble predictions of wind power DOI : 10.1016/j.apenergy.2008.10.009
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2008
Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering DOI : 10.1016/j.jweia.2008.03.013
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2008
Uncertainty estimation of wind power forecasts comparison of probabilistic modelling approaches
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2008
Stochastic optimization techniques for the optimal combination of wind power generation and energy storage in a market environment
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2008
Advanced strategies for wind power trading in short-term electricity markets
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2008
Data mining for wind power forecasting
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2008
Best practice in the use of short-term forecasting - Results from 2 workshops organised by the pow'wow project
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2008
Workshops and virtual laboratories of the POW'WOW project
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2008
A spot-risk-based approach for addressing problems of decision-making under uncertainty
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2007
A stochastic dynamic programming model for optimal use of local energy resources in a market environment DOI : 10.1109/PCT.2007.4538359
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2007
POW'WOW virtual laboratory for wind power forecasting - ViLab.
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2007
ViLab: A virtual laboratory for collaborative research on wind power forecasting DOI : 10.1260/030952407781494458
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2007
Best practice in short-term forecasting. A users guide
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2007
Non-parametric probabilistic forecasts of wind power: Required properties and evaluation DOI : 10.1002/we.230
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2007
Probabilistic short-term wind power forecasting based on kernel density estimators
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2007
ANEMOS advanced wind power forecasting. Operational challenges and on-line performance
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2007
Trading wind generation from short-term probabilistic forecasts of wind power DOI : 10.1109/TPWRS.2007.901117
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2007
Probabilistic short-term wind power forecasting for the optimal management of wind generation DOI : 10.1109/PCT.2007.4538398
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2007
Skill forecasting from different wind power ensemble prediction methods DOI : 10.1088/1742-6596/75/1/012046
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2006
Microgrids - Large scale integration of microgeneration to low voltage grids
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2006
Next generation short-term forecasting of wind power - Overview of the ANEMOS project
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2006
On the quality and value of probabilistic forecasts of wind generation DOI : 10.1109/PMAPS.2006.360290
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2006
POW'WOW: A coordination action on the prediction of waves, wakes and offshore wind
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2006
Short-term forecasting of offshore wind farm production - Developments of the anemos project
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2006
Evaluation of advanced wind power forecasting models - Results of the anemos project
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2006
Next generation forecasting tools for the optimal management of wind generation DOI : 10.1109/PMAPS.2006.360238
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2006
Reference wind farm selection for regional wind power prediction models
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2006
Short-term wind power forecasting using advanced statistical methods
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2006
The anemos wind power forecasting platform technology - Techniques and experiences
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2006
Properties of quantile and interval forecasts of wind generation and their evaluation
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2005
Dynamic modeling of MicroGrids DOI : 10.1109/fps.2005.204227
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2005
Standardizing the performance evaluation of short-term wind power prediction models DOI : 10.1260/030952405776234599
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2005
Management of microgrids in market environment DOI : 10.1109/fps.2005.204225
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2004
Uncertainty of short-term wind power forecasts - A methodology for on-line assessment
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2004
On-line assessment of prediction risk for wind power production forecasts DOI : 10.1002/we.114
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2003
Wind power forecasting using fuzzy neural networks enhanced with on-line prediction risk assessment DOI : 10.1109/PTC.2003.1304289
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2002
Energy management and control of island power systems with increased penetration from renewable sources DOI : 10.1109/PESW.2002.985008
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2001
Preliminary results from the MORE advanced control advice project for secure operation of isolated power systems with increased renewable energy penetration and storage DOI : 10.1109/PTC.2001.964855
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2000
Operation and control of island systems - The Crete case DOI : 10.1109/PESW.2000.850084
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1999
Load and wind power forecasting methods for the optimal management of isolated power systems with high wind penetration
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1999
Dynamic modelling of autonomous power systems including renewable power sources par; [Modélisation dynamique des systèmes électriques insulaires incluant des énergies renouvelables : Hydraulique et éolienne] DOI : 10.1051/lhb/1999003
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1999
The 'CARE' system overview: Advanced control advice for power systems with large-scale integration of renewable energy sources
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1997
An advanced control system for the optimal operation and management of medium size power systems with a large penetration from renewable power sources DOI : 10.1016/S0960-1481(97)00028-1
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1996
Development and implementation of an advanced control system for autonomous power systems including renewable power sources
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1996
Wind power forecasting using advanced neural networks models DOI : 10.1109/60.556376
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1995
A general simulation algorithm for the accurate assessment of isolated diesel-wind turbines systems interaction. Part II: Implementation of the algorithm and case-studies with induction generators. DOI : 10.1109/60.464886
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1995
A general simulation algorithm for the accurate assessment of ISOLATED Diesel - Wind Turbines Systems Interaction. Part I: A General Multimachine Power System Model. DOI : 10.1109/60.464885
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1994
New expert system based control tool for power systems with large integration of PVs & wind power plants
Direction(s) de thèse(s)
- 2025 Méthodes d’apprentissage automatique exploitant les données massives pour la prévision très court-terme en conditions réelles de la production renouvelable LIGNEREUX Valentin
- 2025 Développement de méthodes d’analyse prescriptive basées sur l’IA pour l’optimisation des systèmes énergétiques LE STANC Stevan
- 2025 Apprentissage automatique quantique et algorithmes de calcul pour l’optimisation des systèmes énergétiques bas carbone GIANCOLI Corrado
- 2024 Vers une approche générique sans couture de prévision à l'échelle locale de la production renouvelable utilisant des sources de données multiples MÁRQUEZ ALVAREZ Victor Manuel
- 2024 Vers une approche générique basée sur l'IA pour la prévision de consommation d'énergie à l'échelle locale dans le contexte des smartgrids CHIBOUT Erwan
- 2022 Méthodes de partage de données en respectant les contraintes de confidentialité et de vie privé pour l'optimisation des systèmes énergétiques multi-acteurs STIPPEL Lukas
- 2021 Optimisation du potentiel de flexibilité de demande énergétique dans le secteur industriel LEDUR Sylvain
- 2021 Méthodes avancées pour améliorer l'interprétabilitédes outils d'IA avec application au secteur de l'énergie PARGINOS Konstantinos
- 2021 Élaboration d’une Méthode d’Évaluation du Potentiel Énergétique pour les Projets de Renouvellement deParcs Éoliens MAZOYER Paul
- 2021 Optimisation Stochastique Distribuée pour la Gestion de Centrales Virtuelles Complexes : Valorisation de la Flexibilité d'une Chaîne de Centrales Hydrauliques au Fil de l'Eau pour l'Intégration des Énergies Renouvelables SANTOSUOSSO Luca
- 2020 Méthodes d’optimisation pour la programmation de la charge des véhicules électriques et la planification de leur infrastructure de charge MUKHERJEE Biswarup
- 2020 Vers le paradigme de l'analyse prescriptive pour la prévision énergétique et l'optimisation du système électrique STRATIGAKOS Akylas
- 2019 Gestion et contrôle des centrales hydroélectriques hybrides avec systèmes de stockage électrochimique d'énergie pour les réseaux électriques du futur CASSANO Stefano
- 2018 Optimisation de l'Intégration de Données Multi-sources dans les Modèles de Prévision Court-terme de la Production Photovoltaïque BELLINGUER Kevin
- 2018 Optimisation technico-économique du mix de flexibilité d'un système électrique HEGGARTY Thomas
- 2018 Modélisation de l’évolution des prix sur le marché de l’électricité dans un contexte de forte pénétration des énergies renouvelables MAHLER Valentin
- 2017 Modélisation avancée des systèmes de stockage électrochimique de l’énergie en vue de la maitrise du vieillissement/remplacement et de l’optimisation technico-économique des stratégies de sollicitation. VAZQUEZ RODRIGUEZ Alberto
- 2017 Développement d’une approche de modélisation multi-échelle pour la gestion des réseaux électriques du futur. BAILLY Pacco
- 2016 Développement d’une approche de modélisation multi-échelle pour la gestion des réseaux électriques du futur. MURATORE Giovanni
- 2016 Optimisation des flexibilités des « consommacteurs » dans le contexte des marchés d’électricité CORREA FLOREZ Carlos Adrian
- 2016 Prévision et optimisation de l'offre de services système par des énergies renouvelables CAMAL Simon
- 2016 Prévision et valorisation de la production photovoltaïques par méthodes orientées données. CARRIERE Thomas
- 2016 Vers une approche intégrée d’aide à la planification énergétique territoriale - application à la rénovation énergétique des bâtiments ROGEAU Antoine
- 2015 Optimisation de la planification et l'opération du réseau de distribution dans le contexte d'une forte pénétration des énergies renouvelables GROVER-SILVA Etta
- 2015 prévision à court terme de la demande électrique des maisons intelligentes et des réseaux de distribution GEROSSIER Alexis
