Intelligent computing: the latest advances, challenges, and future

S Zhu, T Yu, T Xu, H Chen, S Dustdar, S Gigan… - Intelligent …, 2023 - spj.science.org
Computing is a critical driving force in the development of human civilization. In recent years,
we have witnessed the emergence of intelligent computing, a new computing paradigm that …

An archived dataset from the ECMWF Ensemble Prediction System for probabilistic solar power forecasting

W Wang, D Yang, T Hong, J Kleissl - Solar Energy, 2022 - Elsevier
Ensemble numerical weather prediction (NWP) is the backbone of the state-of-the-art solar
forecasting for horizons ranging between a few hours and a few days. Dynamical ensemble …

Inparformer: Evolutionary decomposition transformers with interactive parallel attention for long-term time series forecasting

H Cao, Z Huang, T Yao, J Wang, H He… - Proceedings of the AAAI …, 2023 - ojs.aaai.org
Long-term time series forecasting (LTSF) provides substantial benefits for numerous real-
world applications, whereas places essential demands on the model capacity to capture …

Amorphous gallium oxide homojunction-based optoelectronic synapse for multi-functional signal processing

R Li, Y Lin, Y Li, S Gao, W Yue, H Kan… - Journal of …, 2023 - iopscience.iop.org
In the era of accelerated development in artificial intelligence as well as explosive growth of
information and data throughput, underlying hardware devices that can integrate perception …

Research on sustainable reuse of urban ruins based on artificial intelligence technology: A study of Guangzhou

Q Duan, L Qi, R Cao, P Si - Sustainability, 2022 - mdpi.com
In recent years, with the continuous deepening of the urbanization process, the problem of
urban ruins (URs) has become prominent. This significantly affects the happiness of …

A Multi-level Attention-Based LSTM Network for Ultra-short-term Solar Power Forecast Using Meteorological Knowledge

T Yao, J Wang, H Cao, F Liu, X Wang, Y Wang… - … on Knowledge Science …, 2022 - Springer
Deep learning has been widely applied to modeling, prediction, control, and optimization in
smart energy systems, especially in solar energy. Accurate forecasting of photovoltaic (PV) …

OpenVenus: an open service interface for HPC environment based on SLURM

M Wan, R Cao, Y Wang, J Wang, K Li, X Wang… - … Conference on Smart …, 2022 - Springer
With the emergence of more and more “AI+ Field+ HPC” applications, it is urgent to solve the
problem of scheduling and management of High-Performance Computing (HPC) resources …

Updates and Experiences of VenusAI Platform

M Wan, R Cao, K Li, X Wang, Z Wang, J Wang… - … Conference on Artificial …, 2023 - Springer
Abstract [Objective] This paper presents an overview introduction of the VenusAI platform,
focusing on its technical updates and sharing the experiences gained since its deployment …

Data-Driven Approach for Investigation of Irradiation Hardening Behavior of RAFM Steel

Z Wang, Z Chen, X He, H Cao, Y Cui, M Wan… - … on Knowledge Science …, 2022 - Springer
Abstract Knowledge reasoning plays an important role in applications such as the human
relation web and semantic search. However, how to use this method to solve materials …