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相关概念视频

Transformers in Distribution System01:27

Transformers in Distribution System

159
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
159
Reducing Line Loss01:18

Reducing Line Loss

194
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
194
Transformers01:26

Transformers

1.2K
A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
The iron core has a substantial relative permeability. Therefore, the magnetic field lines generated due to the current in one winding are almost entirely confined within the core, such that the same magnetic flux permeates each turn of both...
1.2K
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

205
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
205
Three-Winding Transformers01:19

Three-Winding Transformers

313
Three identical single-phase transformers can be configured to form a three-phase transformer connection, which involves high-voltage and low-voltage windings. The high-voltage windings are denoted by capital letters A-B-C, while the low-voltage windings are labeled with lowercase letters a-b-c, representing their respective phases. This notation helps distinguish between the high and low voltage sides of the transformer.
In the per-unit equivalent circuit of a grounded Y-Y three-phase...
313
Energy Losses in Transformers01:21

Energy Losses in Transformers

978
In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality,  the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
There are four main reasons for energy losses in transformers.
The first cause can be  the high resistance of the...
978

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相关实验视频

Updated: Sep 13, 2025

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

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时间结构保护变压器用于工业负载预测.

Senzhen Wu1, Zhijin Wang1, Xiufeng Liu2

  • 1College of Computer Engineering, Jimei University, Yinjiang Road 185, Xiamen, 361021, China.

Neural networks : the official journal of the International Neural Network Society
|July 27, 2025
PubMed
概括

精确的工业功率负载预测通过时间结构保护变压器 (TSPT) 得到改善. 这种新型模型有效地处理复杂的多目标数据,并集成外部因素,以实现更好的能源管理.

关键词:
域名知识整合领域知识整合.工业负载预测的预测多尺度建模的多尺度建模时间结构 - - 保存时间结构.变压器网络的变压器网络.

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科学领域:

  • 能源系统工程 能源系统工程
  • 人工智能的人工智能
  • 数据科学数据科学数据科学

背景情况:

  • 工业园区的能源管理需要准确的功率负载预测.
  • 现有模型面临的挑战是多目标负载序列和整合各种外部变量.
  • 优化能源效率和运营决策取决于精确的预测.

研究的目的:

  • 引入一种新的架构,即时间结构保存变压器 (TSPT),用于工业电力负载预测.
  • 解决现有模型在处理复杂,多目标序列和整合外源数据方面的局限性.
  • 通过保留时间结构和融合多尺度模式来提高预测准确性.

主要方法:

  • 多目标序列的分解为用于并行处理的单变量序列.
  • 使用Gated Feature Fusion (GFF) 集成外源变量 (天气,生产,效率数据).
  • 应用结构保存转换来捕捉多尺度时间模式.

主要成果:

  • 在现实世界工业园区数据集上,TSPT在与最先进的方法相比显示出更高的性能.
  • 该模型有效地处理了复杂的,多目标的预测任务,并集成了外部变量.
  • 保持时间结构和并行处理显著提高了预测准确性.

结论:

  • TSPT为工业电力负载预测提供了可扩展和准确的解决方案.
  • 提出的方法可以改善工业环境中的能源管理和运营决策.
  • 对特定领域知识的有效整合提高了预测能力.