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Operational characteristics of residential air conditioners with temporally granular remote thermographic imaging.

, , , , , and . BuildSys@SenSys, page 184-187. ACM, (2021)

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Build2Vec: Building Representation in Vector Space., , and . CoRR, (2020)The ASHRAE Great Energy Predictor III competition: Overview and results., , , , , , , , , and 1 other author(s). CoRR, (2020)Using Google Trends as a proxy for occupant behavior to predict building energy consumption., and . CoRR, (2021)Review of machine learning techniques for mosquito control in urban environments., and . Ecol. Informatics, (2021)Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight., , , , , and . CoRR, (2023)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)Towards Class-Balancing Human Comfort Datasets with GANs., and . BuildSys@SenSys, page 391-392. ACM, (2019)More Buildings Make More Generalizable Models - Benchmarking Prediction Methods on Open Electrical Meter Data.. Mach. Learn. Knowl. Extr., 1 (3): 974-993 (2019)Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis., , , and . CoRR, (2021)