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Researcher
Sundar Singaravel
- Disciplines:Architectural engineering, Architecture, Interior architecture, Architectural design, Art studies and sciences
Affiliations
- Design and Engineering of Construction and Architecture (Division)
Member
From1 Aug 2020 → 31 Mar 2020 - Architectural Engineering (Division)
Member
From1 Dec 2015 → 31 Jul 2020
Projects
1 - 1 of 1
- Machine Learning for Energy Performance Prediction in Early Design Stage of BuildingsFrom2 Dec 2015 → 21 Feb 2020Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 10
- Machine Learning for Energy Performance Prediction in Early Design Stage of Buildings(2020)
- Deep convolutional learning for general early design stage prediction models(2019)Published in: Advanced Engineering InformaticsISSN: 1474-0346Volume: 42
- Improving Prediction Accuracy of Machine Learning Energy Prediction Models(2019)Pages: 102 - 112Number of pages: 11
- Component-based machine learning for performance prediction in building design(2018)Published in: Applied EnergyISSN: 0306-2619Volume: 228Pages: 1439 - 1453
- Information Exchange Scenarios between Machine Learning Energy Prediction Model and BIM at Early Stage of Design(2018)Pages: 487 - 494
- Deep Learning Neural Networks Architectures and Methods: Building Design Energy Prediction by Component-Based Models(2018)Published in: Advanced Engineering InformaticsISSN: 1474-0346Volume: 38Pages: 81 - 90
- Component-based machine learning for energy performance prediction by multiLOD models in the early phases of building design(2018)Pages: 516 - 534
- Component-Based Machine Learning Modelling Approach For Design Stage Building Energy Prediction: Weather Conditions And Size(2017)Pages: 2617 - 2626
- Deep Neural Network Architectures for Component-Based Machine Learning Model in Building Energy Predictions(2017)Pages: 260 - 268
- Simplifying Building Energy Performance Models to support an integrated building design workflow(2016)Pages: 220 - 230