Schlagworte:
- battery powered vehicles
- blockchain
- data mining
- datamining
- DC-DC power convertors
- distributed power generation
- electric vehicle charging
- electricity
- Energy prediction
- Ethereum
- machine learning
- microgrids
- modeling
- optimization
- Optimized Machine learning
- power grids
- Prediction
- renewable energy
- retraining
- Simulation
- smart community
- smart-grid
- trees (mathematics)
- vehicle-to-grid
- VOLTAGE PREDICTION
- wind
Publikationen von David Wannier
2024
2023
| , , , , , und , GEOLOCALIZED PHOTOVOLTAIC ENERGY PREDICTION METHODOLOGY USING MACHINE LEARNING (2023), in: CIRED 2023 |
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2022
| und , Applied DevSecOps for Machine Learning Prediction Systems (2022), in: - |
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| , , , , , , , , , und , CHARGING POTENTIAL OF V4G THROUGH V2G STANDARD PROTOCOL FOR CCS (2022), in: CIRED Porto Workshop 2022: E-mobility and power distribution systems(750 – 754) |
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| , , , , , und , Micro Stockage Intelligent Distribué (MSID) (2022), in: -(1) |
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2021
| , , , , und , A Blockchain-Supported Framework for Charging Management of Electric Vehicles (2021), in: MDPI Energies, 14:7144(32) |
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| , und , A data augmentation methodology for machine learning modelling of distribution power grid: Application on optimal storage sizing and control (2021), in: CIRED 2021(5) |
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2019
| und , Test (2019), in: Test |
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2018
| , , und , Aide du pilotage décentralisé par prédiction, Editions G d'encre, 2018 |
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| , , , und , Improving wind power prediction with retraining machine learning algorithms, 2018 International Workshop on Big Data and Information Security (IWBIS), Jakarta, Indonesia, Indonesia, Seiten 43-48, IEEE, 2018 |
[DOI] |
| , , und , OPTIMIZED METHOD TO PREDICT ENERGY IN A MICROGRID (2018), in: ISEC |
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2016
| , , und , Big Data au service de la transition énergétique, G d'Encre, 2016 |
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