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Investigating the impact of borehole field data’s input parameters on the forecasting accuracy of multivariate hybrid deep learning models for heating and cooling
Research article (Energy and Buildings, 2023) · cited 13× · AI/ML
Investigating the impact of borehole field data’s input parameters on the forecasting accuracy of multivariate hybrid deep learning models for heating and cooling
Summary
Investigating the impact of borehole field data’s input parameters on the forecasting accuracy of multivariate hybrid deep learning models for heating and cooling is a scholarly article[1].
Key Facts
Investigating the impact of borehole field data’s input parameters on the forecasting accuracy of multivariate hybrid deep learning models for heating and cooling's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Investigating the impact of borehole field data’s input parameters on the forecasting accuracy of multivariate hybrid deep learning models for heating and cooling. Retrieved May 24, 2026, from https://4ort.xyz/entity/investigating-the-impact-of-borehole-field-datas-input-parameters-on-the-forecasting-accuracy-of-multivariate-hybrid-dee
MLA“Investigating the impact of borehole field data’s input parameters on the forecasting accuracy of multivariate hybrid deep learning models for heating and cooling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/investigating-the-impact-of-borehole-field-datas-input-parameters-on-the-forecasting-accuracy-of-multivariate-hybrid-dee.
BibTeX@misc{4ortxyz_investigating-the-impact-of-borehole-field-datas-input-parameters-on-the-forecasting-accuracy-of-multivariate-hybrid-dee_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Investigating the impact of borehole field data’s input parameters on the forecasting accuracy of multivariate hybrid deep learning models for heating and cooling}}, year = {2026}, url = {https://4ort.xyz/entity/investigating-the-impact-of-borehole-field-datas-input-parameters-on-the-forecasting-accuracy-of-multivariate-hybrid-dee}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Investigating the impact of borehole field data’s input parameters on the forecasting accuracy of multivariate hybrid deep learning models for heating and cooling — https://4ort.xyz/entity/investigating-the-impact-of-borehole-field-datas-input-parameters-on-the-forecasting-accuracy-of-multivariate-hybrid-dee (retrieved 2026-05-24)
