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Developing an integrated prediction model for daylighting, thermal comfort, and energy consumption in residential buildings based on the stacking ensemble learning algorithm
Research article (Building Simulation, 2024) · cited 20× · AI/ML
Developing an integrated prediction model for daylighting, thermal comfort, and energy consumption in residential buildings based on the stacking ensemble learning algorithm
Summary
Developing an integrated prediction model for daylighting, thermal comfort, and energy consumption in residential buildings based on the stacking ensemble learning algorithm is a scholarly article[1].
Key Facts
Developing an integrated prediction model for daylighting, thermal comfort, and energy consumption in residential buildings based on the stacking ensemble learning algorithm's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Developing an integrated prediction model for daylighting, thermal comfort, and energy consumption in residential buildings based on the stacking ensemble learning algorithm. Retrieved May 24, 2026, from https://4ort.xyz/entity/developing-an-integrated-prediction-model-for-daylighting-thermal-comfort-and-energy-consumption-in-residential-building
MLA“Developing an integrated prediction model for daylighting, thermal comfort, and energy consumption in residential buildings based on the stacking ensemble learning algorithm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/developing-an-integrated-prediction-model-for-daylighting-thermal-comfort-and-energy-consumption-in-residential-building.
BibTeX@misc{4ortxyz_developing-an-integrated-prediction-model-for-daylighting-thermal-comfort-and-energy-consumption-in-residential-building_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Developing an integrated prediction model for daylighting, thermal comfort, and energy consumption in residential buildings based on the stacking ensemble learning algorithm}}, year = {2026}, url = {https://4ort.xyz/entity/developing-an-integrated-prediction-model-for-daylighting-thermal-comfort-and-energy-consumption-in-residential-building}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Developing an integrated prediction model for daylighting, thermal comfort, and energy consumption in residential buildings based on the stacking ensemble learning algorithm — https://4ort.xyz/entity/developing-an-integrated-prediction-model-for-daylighting-thermal-comfort-and-energy-consumption-in-residential-building (retrieved 2026-05-24)
