Zobrazeno 1 - 10
of 581 300
pro vyhledávání: '"System Model"'
This paper combines a techno-economic energy system model with an econometric model to maximise electricity price forecasting accuracy. The proposed combination model is tested on the German day-ahead wholesale electricity market. Our paper also benc
Externí odkaz:
http://arxiv.org/abs/2411.04880
Autor:
Lingxiang Wei1, Dongjun Guo1 guo_dongjun@163.com, Junyuan Ji2, Zhilong Chen1 chen-zl@vip.163.com, Huapeng Hu2, Xiaoli Peng1
Publikováno v:
Underground Space (2096-2754). Dec2024, Vol. 19, p251-278. 28p.
Autor:
Chen, Xinyu1 (AUTHOR) cxy18116544991@outlook.com, Song, Minhong1 (AUTHOR) 3230101080@stu.cuit.edu.cn, Wang, Yaqi1 (AUTHOR), Wu, Tongwen2 (AUTHOR)
Publikováno v:
Remote Sensing. Nov2024, Vol. 16 Issue 21, p4118. 16p.
Autor:
Cao, Qianni, Shen, Chen
As the proportion of renewable energy and power electronics in the power system increases, modeling frequency dynamics under power deficits becomes more challenging. Although data-driven methods help mitigate these challenges, they are exposed to dat
Externí odkaz:
http://arxiv.org/abs/2411.04467
The Atlantic Meridional Overturning Circulation (AMOC) is recognized as a tipping element within the global climate system. Central to its tipping behavior is the salt-advection feedback mechanism, which has been extensively studied in box models and
Externí odkaz:
http://arxiv.org/abs/2410.03236
Autor:
Abdulah, Sameh, Baker, Allison H., Bosilca, George, Cao, Qinglei, Castruccio, Stefano, Genton, Marc G., Keyes, David E., Khalid, Zubair, Ltaief, Hatem, Song, Yan, Stenchikov, Georgiy L., Sun, Ying
We present the design and scalable implementation of an exascale climate emulator for addressing the escalating computational and storage requirements of high-resolution Earth System Model simulations. We utilize the spherical harmonic transform to s
Externí odkaz:
http://arxiv.org/abs/2408.04440
Autor:
Seizovic, Aleksandar1 (AUTHOR) acaseizo@gmail.com, Goh, Steven2 (AUTHOR), Thorpe, David3 (AUTHOR), Skoufa, Lucas4 (AUTHOR)
Publikováno v:
Applied Artificial Intelligence. 2024, Vol. 38 Issue 1, p1-28. 28p.
Publikováno v:
Pakistan Journal of Medical Sciences. Sep2024, Vol. 40 Issue 8, p1747-1752. 6p.
Federated learning harnesses the power of distributed optimization to train a unified machine learning model across separate clients. However, heterogeneous data distributions and computational workloads can lead to inconsistent updates and limit mod
Externí odkaz:
http://arxiv.org/abs/2410.09933
Autor:
Cresswell-Clay, Nathaniel, Liu, Bowen, Durran, Dale, Liu, Andy, Espinosa, Zachary I., Moreno, Raul, Karlbauer, Matthias
A key challenge for computationally intensive state-of-the-art Earth-system models is to distinguish global warming signals from interannual variability. Recently machine learning models have performed better than state-of-the-art numerical weather p
Externí odkaz:
http://arxiv.org/abs/2409.16247