September 09, 2020 article Open access A data-driven approach for multi-scale GIS-based building energy modeling for analysis, planning and support decision making Applied Energy DOI: 10.1016/j.apenergy.2020.115834 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 168 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 NEED4Interoperability: An ontology-based data integration for municipal heat planning in Germany 2025 Procedia Computer Science conference-paper Computer Science Semantic Web and Ontologies Open access 0 citations Data-driven classification of Urban Energy Units for district-level heating and electricity demand analysis 2023 Sustainable Cities and Society article Engineering Building Energy and Comfort Optimization Open access 26 citations Information modelling for urban building energy simulation—A taxonomic review 2021 Building and Environment article Engineering Building Energy and Comfort Optimization Open access 92 citations 3 results References 0