Predicting the Energy Consumption of Commercial Buildings Based on Deep Forest Model and Its Interpretability

Research article (Buildings, 2023) · cited 15× · AI/ML
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Predicting the Energy Consumption of Commercial Buildings Based on Deep Forest Model and Its Interpretability

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Predicting the Energy Consumption of Commercial Buildings Based on Deep Forest Model and Its Interpretability is a scholarly article[1].

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  • Predicting the Energy Consumption of Commercial Buildings Based on Deep Forest Model and Its Interpretability's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Predicting the Energy Consumption of Commercial Buildings Based on Deep Forest Model and Its Interpretability. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-the-energy-consumption-of-commercial-buildings-based-on-deep-forest-model-and-its-interpretability
MLA “Predicting the Energy Consumption of Commercial Buildings Based on Deep Forest Model and Its Interpretability.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-the-energy-consumption-of-commercial-buildings-based-on-deep-forest-model-and-its-interpretability.
BibTeX @misc{4ortxyz_predicting-the-energy-consumption-of-commercial-buildings-based-on-deep-forest-model-and-its-interpretability_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting the Energy Consumption of Commercial Buildings Based on Deep Forest Model and Its Interpretability}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-the-energy-consumption-of-commercial-buildings-based-on-deep-forest-model-and-its-interpretability}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting the Energy Consumption of Commercial Buildings Based on Deep Forest Model and Its Interpretability — https://4ort.xyz/entity/predicting-the-energy-consumption-of-commercial-buildings-based-on-deep-forest-model-and-its-interpretability (retrieved 2026-05-24)

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