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Improving the accuracy and interpretability of multi-scenario building energy consumption prediction considering characteristics of training dataset
Research article (Energy and Buildings, 2024) · cited 11× · AI/ML
Improving the accuracy and interpretability of multi-scenario building energy consumption prediction considering characteristics of training dataset
Summary
Improving the accuracy and interpretability of multi-scenario building energy consumption prediction considering characteristics of training dataset is a scholarly article[1].
Key Facts
Improving the accuracy and interpretability of multi-scenario building energy consumption prediction considering characteristics of training dataset's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Improving the accuracy and interpretability of multi-scenario building energy consumption prediction considering characteristics of training dataset. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-the-accuracy-and-interpretability-of-multi-scenario-building-energy-consumption-prediction-considering-charact
MLA“Improving the accuracy and interpretability of multi-scenario building energy consumption prediction considering characteristics of training dataset.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-the-accuracy-and-interpretability-of-multi-scenario-building-energy-consumption-prediction-considering-charact.
BibTeX@misc{4ortxyz_improving-the-accuracy-and-interpretability-of-multi-scenario-building-energy-consumption-prediction-considering-charact_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving the accuracy and interpretability of multi-scenario building energy consumption prediction considering characteristics of training dataset}}, year = {2026}, url = {https://4ort.xyz/entity/improving-the-accuracy-and-interpretability-of-multi-scenario-building-energy-consumption-prediction-considering-charact}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving the accuracy and interpretability of multi-scenario building energy consumption prediction considering characteristics of training dataset — https://4ort.xyz/entity/improving-the-accuracy-and-interpretability-of-multi-scenario-building-energy-consumption-prediction-considering-charact (retrieved 2026-05-24)
