Hemmatabady, H., Sass, I., Janicka, J., Schill, E. und Schüth, C. (2022) Geothermal Systems in District Heating and Cooling: Multi-objective and Artificial Neural Network Methods for Exergo- and Enviro-economic Optimization [cd]. Universitäts- und Landesbibliothek Darmstadt. doi:10.26083/tuprints-00022180.
Chicago Manual of Style 17th edition (full note)Hemmatabady, Hoofar, Ingo Sass, Johannes Janicka, Eva Schill, und Christoph Schüth. „Geothermal Systems in District Heating and Cooling: Multi-objective and Artificial Neural Network Methods for Exergo- and Enviro-economic Optimization“. Cd. Universitäts- und Landesbibliothek Darmstadt, [2022?], Universitäts- und Landesbibliothek Darmstadt, [2022?]. https://doi.org/10.26083/tuprints-00022180.
American Psychological Association 7th editionHemmatabady, H., Sass, I., Janicka, J., Schill, E., & Schüth, C. (ca. 2022). Geothermal Systems in District Heating and Cooling: Multi-objective and Artificial Neural Network Methods for Exergo- and Enviro-economic Optimization [Universitäts- und Landesbibliothek Darmstadt; Cd]. https://doi.org/10.26083/tuprints-00022180
Modern Language Association 9th editionHemmatabady, H., I. Sass, J. Janicka, E. Schill, und C. Schüth. Geothermal Systems in District Heating and Cooling: Multi-objective and Artificial Neural Network Methods for Exergo- and Enviro-economic Optimization. cd, Universitäts- und Landesbibliothek Darmstadt, 2022, https://doi.org/10.26083/tuprints-00022180.
ISO-690 (author-date, Deutsch)HEMMATABADY, Hoofar, Ingo SASS, Johannes JANICKA, Eva SCHILL und Christoph SCHÜTH, 2022. Geothermal Systems in District Heating and Cooling: Multi-objective and Artificial Neural Network Methods for Exergo- and Enviro-economic Optimization. Darmstadt: Universitäts- und Landesbibliothek Darmstadt