September 01, 2018 conference-paper Open access Forecasting District Heating Demand using Machine Learning Algorithms Energy Procedia DOI: 10.1016/j.egypro.2018.08.169 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 87 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 Implementation of a machine learning supported model predictive control for a 5th generation district heating and cooling energy hub 2026 Energy and AI article Engineering Integrated Energy Systems Optimization Open access 3 citations Generation of heat and electricity load profiles with high temporal resolution for Urban Energy Units using open geodata 2024 Sustainable Cities and Society article Engineering Building Energy and Comfort Optimization Open access 3 citations 2 results References 0