Opening book details…
Can I read A framework for the optimal integration of solar assisted district heating in different urban sized communities: A robust machine learning approach incorporating global sensitivity analysis on EtoBox?
A framework for the optimal integration of solar assisted district heating in different urban sized communities: A robust machine learning approach incorporating global sensitivity analysis by Abokersh, Mohamed Hany; Vallà ̈s, Manel; Cabeza, Luisa F.; Boer, Dieter is a Engineering article available to read on EtoBox.
What is A framework for the optimal integration of solar assisted district heating in different urban sized communities: A robust machine learning approach incorporating global sensitivity analysis about?
Multi-objective optimization is carried out for four sizes of solar communities. • The effect of storage construction variety is tested in the optimization problem. • Global Sensitivity Analysis to identify the uncertain parameters is proposed.
Who reads A framework for the optimal integration of solar assisted district heating in different urban sized communities: A robust machine learning approach incorporating global sensitivity analysis?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Abokersh, Mohamed Hany; Vallà ̈s, Manel; Cabeza, Luisa F.; Boer, Dieter
- Publisher
- Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0306-2619)
- Published
- 2020
- Language
- EN
- Field
- Engineering (Physical Sciences)
More by Abokersh, Mohamed Hany; Vallà ̈s, Manel; Cabeza, Luisa F.; Boer, Dieter
Browse all works by Abokersh, Mohamed Hany; Vallà ̈s, Manel; Cabeza, Luisa F.; Boer, Dieter