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Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis.

, , , and . CoRR, (2021)

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ComfortLearn: enabling agent-based occupant-centric building controls., , , , and . BuildSys@SenSys, page 475-478. ACM, (2022)Trimming outliers using trees: winning solution of the large-scale energy anomaly detection (LEAD) competition., , and . BuildSys@SenSys, page 456-461. ACM, (2022)Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight., , , , , and . CoRR, (2023)Semantic segmentation of longitudinal thermal images for identification of hot and cool spots in urban areas., , , and . CoRR, (2023)Longitudinal personal thermal comfort preference data in the wild., , , , and . SenSys, page 556-559. ACM, (2021)Smartwatch-based ecological momentary assessments for occupant wellness and privacy in buildings., , , , , , , and . CoRR, (2022)Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis., , , and . CoRR, (2021)Operational characteristics of residential air conditioners with temporally granular remote thermographic imaging., , , , , and . BuildSys@SenSys, page 184-187. ACM, (2021)Towards smartwatch-driven just-in-time adaptive interventions (JITAI) for building occupants., , , and . BuildSys@SenSys, page 336-339. ACM, (2022)A Dynamic Urban Digital Twin Integrating Longitudinal Thermal Imagery for Microclimate Studies., , , , and . BuildSys@SenSys, page 421-428. ACM, (2023)