It is not currently feasible to place a sensor within an electrical transformer to directly measure the water content in the solid insulation of the windings. Thus, the degree of degradation of the insulation can generally not be known without a maintenance intervention. Accordingly, disclosed ...
digital twin deployment faces significant challenges such as high costs, security risks, data accuracy, privacy concerns, and system complexity, each presenting unique obstacles to effective implementation and management
为解决这些问题, 受自然语言处理和计算机视觉领域预训练与微调框架启发, 提出一个基于Transformer的基础模型TSNet, 用于预测多样化的网络性能指标。为了利用Transformer架构更好地建模时间序列, 引入频域注意力机制和时序分解。此外, 设计了一种轻量的微调策略, 使TSNet可以快速泛化到新数据或新场景。实验结果表明, 基于...
MULTI-VENDOR:Solar PV Inverter, Wind Turbine, Transformer, Weather Stations, Soiling Stations, Switch Gears, DC/AC Junction Boxes of any make or model - push the data to cloud – clean, visualize and act on data coming from any type of power plant. ...
We invite you to join us on December 13, 2022 for the 3rd edition of Transformer Connect. This edition, with the theme of ‘Digital Made Real’, aims to keep you updated on the latest innovations in digitization and help you connect with our experts to learn about the wide ran...
Protection of IEC two-winding transformer – Withstand duration etapAPI™ ETAP RESTful API for Interoperability Web services-based architecture for ETAP to interact with other complementary applications via data messaging Connect to ETAP from any device, any platform ETAP now exposes its service...
Ansys TwinAI is a digital twin solution that integrates the accuracy of physics models with insights from real-world data, powered by AI/ML techniques.
transformer Transformers are the basic equipment for power transmission and distribution, and are widely used in industry, agriculture, transportation, urban communities and other fields. There are about 17 million transformers operating on the grid in my country, with a total capacity of about 11 bi...
drug combinations and dosages in high-throughput screens [Citation6,Citation7]. The scGPT model predicted transcriptional response to genetic perturbation and source of genetic perturbation for a given transcriptional state based on a generative pretrained transformer [Citation8]. Another example of cell...
These models, boosted by Transformer architectures like GPT and LLAMA, are trained on massive datasets to acquire their remarkable language proficiency [107]. Through accessible application programming interfaces (APIs), LLMs are being seamlessly integrated into a wide range of industries, including ...