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Optimization and prediction of energy consumption, light and thermal comfort in teaching building atriums using NSGA-II and machine learning
PaperCitations, authors & open-access status
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. ScholarIQ records 48 citations, 2024 year and closed oa status.
48
Citations
2024
Year
closed
OA Status