Concepedia

Performance comparison on improved data-driven building energy prediction under data shortage scenarios in four perspectives: Data generation, incremental learning, transfer learning, and physics-informed

Guannan Li, Lei Zhan, Xi Fang, Jiajia Gao, Chengliang Xu, Xin He, Jiahui Deng, Chenglong Xiong

Energy · 2024 · 10 citations · 64 references

References

64

Summarizing multiple aspects of model performance in a single diagram

Karl E. Taylor · Journal of Geophysical Research Atmospheres · 2001 · 8.7K citations

Business, Earth Sciences, Geophysics +16

Predicting residential energy consumption using CNN-LSTM neural networks

Tae Young Kim, Sung-Bae Cho · Energy · 2019 · 1.4K citations

Architecture, Building Science, Energy Management +12

Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption

Muhammad Waseem Ahmad, Monjur Mourshed, Yacine Rezgui · Energy and Buildings · 2017 · 989 citations · Full text

Computing, Building Science, Computer Science +17

Random Forest based hourly building energy prediction

Zeyu Wang, Yueren Wang, Ruochen Zeng et al. · Energy and Buildings · 2018 · 617 citations

Architecture, Architectural Engineering, Building Science +14

Building thermal load prediction through shallow machine learning and deep learning

Zhe Wang, Tianzhen Hong, Mary Ann Piette · Applied Energy · 2020 · 474 citations · Full text

Engineering, Building Science, Computer Science +15