Edge-based Parametric Digital Twins for Intelligent Building Indoor Climate Modeling

7 March 2024

Papers citing "Edge-based Parametric Digital Twins for Intelligent Building Indoor Climate Modeling"

8 / 8 papers shown

Title
Leveraging Deep Learning and Digital Twins to Improve Energy Performance of Buildings Zhongjun Ni Chi Zhang M. Karlsson Shaofang Gong AI4CE 90 6 0 08 May 2023
Long-term Forecasting with TiDE: Time-series Dense Encoder Abhimanyu Das Weihao Kong Andrew B. Leach Shaan Mathur Rajat Sen Rose Yu AI4TS 85 274 0 17 Apr 2023
Are Transformers Effective for Time Series Forecasting? Ailing Zeng Mu-Hwa Chen L. Zhang Qiang Xu AI4TS 154 1,772 0 26 May 2022
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting Cristian Challu Kin G. Olivares Boris N. Oreshkin Federico Garza Max Mergenthaler-Canseco A. Dubrawski AI4TS 98 274 0 30 Jan 2022
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting Bryan Lim Sercan O. Arik Nicolas Loeff Tomas Pfister AI4TS 122 1,470 0 19 Dec 2019
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey Xiaofei Wang Yiwen Han Victor C. M. Leung Dusit Niyato Xueqiang Yan Xu Chen 79 998 0 19 Jul 2019
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling Shaojie Bai J. Zico Kolter V. Koltun DRL 97 4,845 0 04 Mar 2018
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches Kyunghyun Cho B. V. Merrienboer Dzmitry Bahdanau Yoshua Bengio AI4CE AIMat 259 6,786 0 03 Sep 2014