Optimization and prediction of energy consumption, light and thermal comfort in teaching building atriums using NSGA-II and machine learning
Optimization and prediction of energy consumption, light and thermal comfort in teaching building atriums using NSGA-II and machine learning is a paper indexed in ScholarIQ from OpenAlex.
How many citations does Optimization and prediction of energy consumption, light and thermal comfort in teaching building atriums using NSGA-II and machine learning have?
Optimization and prediction of energy consumption, light and thermal comfort in teaching building atriums using NSGA-II and machine learning has 48 citations in the OpenAlex counts ScholarIQ stores.
When was Optimization and prediction of energy consumption, light and thermal comfort in teaching building atriums using NSGA-II and machine learning published?
Optimization and prediction of energy consumption, light and thermal comfort in teaching building atriums using NSGA-II and machine learning has 2024 year in the ScholarIQ index.
What is the open-access status of Optimization and prediction of energy consumption, light and thermal comfort in teaching building atriums using NSGA-II and machine learning?
Optimization and prediction of energy consumption, light and thermal comfort in teaching building atriums using NSGA-II and machine learning has closed oa status in the ScholarIQ index.
What is the DOI of Optimization and prediction of energy consumption, light and thermal comfort in teaching building atriums using NSGA-II and machine learning?
The DOI for Optimization and prediction of energy consumption, light and thermal comfort in teaching building atriums using NSGA-II and machine learning is on the source record.
What is the OpenAlex record for Optimization and prediction of energy consumption, light and thermal comfort in teaching building atriums using NSGA-II and machine learning?
The OpenAlex for Optimization and prediction of energy consumption, light and thermal comfort in teaching building atriums using NSGA-II and machine learning is on the source record.