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Onderzoeker
Sundar Singaravel
- Disciplines:Ingenieurswetenschappen in de architectuur, Architectuur, Interieurarchitectuur, Architecturaal design, Kunststudies en -wetenschappen
Affiliaties
- Ontwerp en Engineering van Constructie en Architectuur (Afdeling)
Lid
Vanaf1 aug 2020 → 31 mrt 2020 - Architectuur en Bouwtechniek (Afdeling)
Lid
Vanaf1 dec 2015 → 31 jul 2020
Projecten
1 - 1 of 1
- Machine learning voor laagenergiegebouwVanaf2 dec 2015 → 21 feb 2020Financiering: Eigen Middelen zoals patrimonium, inschrijvingsgelden, giften, ....
Publicaties
1 - 9 van 9
- Machine Learning for Energy Performance Prediction in Early Design Stage of Buildings(2020)
Auteurs: Sundar Singaravel, Philipp Geyer, Hans Janssen, Johan Suykens
- Deep convolutional learning for general early design stage prediction models(2019)
Auteurs: Sundar Singaravel, Johan Suykens, Philipp Geyer
- Component-based machine learning for performance prediction in building design(2018)
Auteurs: Philipp Geyer, Sundar Singaravel
Pagina's: 1439 - 1453 - Information Exchange Scenarios between Machine Learning Energy Prediction Model and BIM at Early Stage of Design(2018)
Auteurs: Manav Mahan Singh, Sundar Singaravel, Philipp Geyer
Pagina's: 487 - 494 - Deep Learning Neural Networks Architectures and Methods: Building Design Energy Prediction by Component-Based Models(2018)
Auteurs: Sundar Singaravel, Johan Suykens, Philipp Geyer
Pagina's: 81 - 90 - Component-based machine learning for energy performance prediction by multiLOD models in the early phases of building design(2018)
Auteurs: Philipp Geyer, Manav Mahan Singh, Sundar Singaravel
Pagina's: 516 - 534 - Component-Based Machine Learning Modelling Approach For Design Stage Building Energy Prediction: Weather Conditions And Size(2017)
Auteurs: Sundar Singaravel, Philipp Geyer, Johan Suykens
Pagina's: 2617 - 2626 - Deep Neural Network Architectures for Component-Based Machine Learning Model in Building Energy Predictions(2017)
Auteurs: Sundar Singaravel, Philipp Geyer, Johan Suykens
Pagina's: 260 - 268 - Simplifying Building Energy Performance Models to support an integrated building design workflow(2016)
Auteurs: Sundar Singaravel, Philipp Geyer
Pagina's: 220 - 230