Development of a hybrid machine-learning and optimization solar shading design framework
Published: 25 November 2022| Version 1 | DOI: 10.17632/pgm5yxmbn2.1
Contributors:
maryam daneshi, Reza Taghavifard, Zahra Sadat Zomorodian, Mohammad TahsildoostDescription
Title: Development of a hybrid machine-learning and optimization solar shading design framework Dates of data collection: 2021/04 Datasets' description: The 6 Excel files named after the solar shading states are datasets produced by the simulation method for training machine learning models, and the rest of the Excel files that start with the word "OPTIMAL" are the optimal solutions obtained for each solar shading state in the multi-objective optimization section.
Files
Institutions
- Shahid Beheshti University
Categories
Architecture, Artificial Intelligence, Machine Learning, Multi-Objective Optimization, Daylighting, Shading