November 27, 2018 article Open access A novel methodology to explain and evaluate data-driven building energy performance models based on interpretable machine learning Applied Energy DOI: 10.1016/j.apenergy.2018.11.081 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 182 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight 2024 Energy and Buildings article Engineering Building Energy and Comfort Optimization Open access 20 citations Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight 2023 arXiv (Cornell University) preprint Engineering Building Energy and Comfort Optimization Open access 0 citations Modeling occupant behavior in buildings 2020 Building and Environment article Engineering Building Energy and Comfort Optimization Open access 215 citations 3 results References 0