Home ›
Entities
› academia
› Utilizing interpretable stacking ensemble learning and NSGA-III for the prediction and optimisation of building photo-thermal environment and energy consumption
Utilizing interpretable stacking ensemble learning and NSGA-III for the prediction and optimisation of building photo-thermal environment and energy consumption
Research article (Building Simulation, 2024) · cited 35× · AI/ML
Utilizing interpretable stacking ensemble learning and NSGA-III for the prediction and optimisation of building photo-thermal environment and energy consumption
Summary
Utilizing interpretable stacking ensemble learning and NSGA-III for the prediction and optimisation of building photo-thermal environment and energy consumption is a scholarly article[1].
Key Facts
Utilizing interpretable stacking ensemble learning and NSGA-III for the prediction and optimisation of building photo-thermal environment and energy consumption's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Utilizing interpretable stacking ensemble learning and NSGA-III for the prediction and optimisation of building photo-thermal environment and energy consumption. Retrieved May 24, 2026, from https://4ort.xyz/entity/utilizing-interpretable-stacking-ensemble-learning-and-nsga-iii-for-the-prediction-and-optimisation-of-building-photo-th
MLA“Utilizing interpretable stacking ensemble learning and NSGA-III for the prediction and optimisation of building photo-thermal environment and energy consumption.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/utilizing-interpretable-stacking-ensemble-learning-and-nsga-iii-for-the-prediction-and-optimisation-of-building-photo-th.
BibTeX@misc{4ortxyz_utilizing-interpretable-stacking-ensemble-learning-and-nsga-iii-for-the-prediction-and-optimisation-of-building-photo-th_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Utilizing interpretable stacking ensemble learning and NSGA-III for the prediction and optimisation of building photo-thermal environment and energy consumption}}, year = {2026}, url = {https://4ort.xyz/entity/utilizing-interpretable-stacking-ensemble-learning-and-nsga-iii-for-the-prediction-and-optimisation-of-building-photo-th}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Utilizing interpretable stacking ensemble learning and NSGA-III for the prediction and optimisation of building photo-thermal environment and energy consumption — https://4ort.xyz/entity/utilizing-interpretable-stacking-ensemble-learning-and-nsga-iii-for-the-prediction-and-optimisation-of-building-photo-th (retrieved 2026-05-24)
