The journey to transformer fleet reliability is not short, but the rewards are significant. By taking a proactive, holistic ...

Sir In the year 1971 we had purchased a piece of land to construct a cold storage after converting the land non agriculture ...

"It can draw power from the grid on the 'off chance' the work order outlasts the battery." Manufacturer introduces ...

Hitachi Energy will invest $250m (Rs20.99bn) in expanding its capacity, portfolio and talent base in India over the next five ...

The company plans to expand its high-voltage switchgear and breakers factory in Mount Pleasant, Pennsylvania, a distribution, ...

台达电(2308)于Energy Taiwan 2024展示因应智慧电网趋势而整合旗下能源产品、广泛应用于不同场域的能源解决方案，包括将电池及变压器、控制系统、配电盘整合于货柜中的All-in-One储能系统DELTerra系列、基于AIoT技术 ...

Ukrenergo, Ukraine's electricity transmission system operator, has built up a stockpile of power equipment that is three ...

The Transformers franchise has a deep, complex lore spanning many different characters including a being named Primus, ...

This article contains spoilers for “Transformers One.” It’s no secret that the trailer for “Transformers One” sucked. The ...

I actually had high hopes going into “Transformers One.” Not because I’m a big fan of the toys or really anything about the ...

Ukraine is set to face its toughest winter since the start of the full-scale invasion as Russia eyes cutting off its nuclear ...

构建预训练时间序列模型时面临的主要挑战是什么？获取高质量、多样化的时间序列数据。目前构建基础预测模型主要有两种方法： 迁移学习LLM：通过针对时间序列任务定制的微调或分词策略，重新利用预训练的大型语言模型（LLM），如GPT-4或Llama。