Palavras-chave:
- data intelligence analysis
- Energy E ciency
- energy information management
- Smart Buildings
- Advanced Metering Infrastructure
- Analyse intelligente des données
- battery powered vehicles
- Data intelligence
- Data intelligence analysis
- data mining
- DC-DC power convertors
- distributed power generation
- electric vehicle charging
- Energy information management
- Energy prediction
- gestion énergétique des bâtiments
- Heating consumption prediction
- Hot water consumption prediction
- Internet des objets
- Internet of Things
- KNIME
- Microgrid
- microgrids
- Neural Network
- Optimized Machine learning
- Pilotage énergétique décentralisé
- power grids
- Prédiction énergétique
- Predictive energy management
- Production décentralisée
- PV forecast
- Smart Cities
- Smart Grid
- Solar production prediction
- Storage
- Système d'informatio n
- Traffic flow prediction
- trees (mathematics)
- vehicle-to-grid
Publicações de Luc Dufour
2022
| , , , , , , , , , and , 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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2018
| , , and , Aide du pilotage décentralisé par prédiction, Editions G d'encre, 2018 |
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| , , and , OPTIMIZED METHOD TO PREDICT ENERGY IN A MICROGRID (2018), in: ISEC |
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2017
| , and , Contribution à la mise au point d'un pilotage énergétique décentralisé par prédiction, Mines Telecom Albi, CNRS, 2017 |
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2016
| , , and , Big Data au service de la transition énergétique, G d'Encre, 2016 |
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| , , , , and , Economic interest of heating and hot water prediction system for residential district (2016), in: IEEE AINA |
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| , , and , Heating and hot water industrial prediction system for residential district (2016), in: IEEE AINA |
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| , , , , , , and , I-BAT: A Data-Intensive Solution Based on the Internet of Things to Predict Energy Behaviors in Microgrids (2016), in: International Journal of Data Warehousing and Mining (IJDWM), 12:2(39--61) |
2015
| , , , , and , A non-intrusive model to predict the exible energy in a residential building, in: 2015 {IEEE} Wireless Communications and Networking Conference Workshops, {WCNC} Workshops 2015, New Orleans, LA, USA, March 9-12, 2015, páginas 69--74, 2015 |
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| , , and , A predictive data-driven model for traffic-jams forecasting in smart santader city-scale testbed, in: 2015 {IEEE} Wireless Communications and Networking Conference Workshops, {WCNC} Workshops 2015, New Orleans, LA, USA, March 9-12, 2015, páginas 64--68, 2015 |
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| , , , , , and , Big data: the key to energy efficiency in smart buildings (2015), in: Soft computing manuscrit |
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| , , , and , Exploiting IoT-based Sensed Data in Smart Buildings to Model its Energy Consumption, 2015 |
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| , , , , , , , and , OUTIL DE PREDICTION SOLAIRE BASE SUR UN CALCUL D’ERREUR METEOROLOGIQUE, 2015 |
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| , , , , and , Solar production prediction based on non linear meteo source adaptation (2015), in: IEE(5) |
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2014
| , , , , , and , I-BAT : A Data-intensive Solution based on the Internet of Things to Predict Energy Behaviours in Microgrids (2014), in: International Journal of Data Warehousing and Mining (IJDWM) |
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| , , , and , Identification method for home electrical signal disaggregation, SET 2014, 25-28.08.2014, Geneva, Switzerland, The 13th International Conference on Sustainable Energy Technologies, 2014 |
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| , and , Présentation du projet iBATs, SMART GRIDS - CRE, 2014 |
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| , , , , , and , Test Set Validation for Home Electrical Signal Disaggregation, in: Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, {IMIS} 2014, Birmingham, United Kingdom, 2-4 July, 2014, páginas 415--420, 2014 |
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| , , , , and , Verification method for home electrical signal disaggregation (2014), in: ESIOT (Extending Seamlessly to the Internet of Things) |
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2013
| , , , , , , , and , L’Internet des objets au service de la gestion énergétique des bâtiments, Bulletin 10s / 2013 ITG-Sonderausgabe / Numéro spécial ITG, 2013 |
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