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相关概念视频

Energy and Power Signals01:17

Energy and Power Signals

1.1K
In an electrical system with a resistor, voltage and current signals facilitate the measurement of power and energy across the resistor. For a continuous-time signal, the total energy over a time interval is defined as the integral of the square of the signal's magnitude over that interval. Mathematically, this is expressed as:
1.1K
Secondary Distribution01:25

Secondary Distribution

555
Secondary distribution systems provide electrical energy at the utilization voltage levels from distribution transformers to customer meters. Typical secondary voltages in the United States include 120/240 V for residential use, 208Y/120 V for residential and commercial use, and 480Y/277 V for industrial and high-rise commercial use.
In residential areas, 120/240 V single-phase, three-wire service is commonly used for lighting, outlets, and large appliances. Urban areas with high-density loads...
555
Instrument Transformers01:23

Instrument Transformers

438
Instrument transformers, comprising voltage transformers (VTs) and current transformers (CTs), play crucial roles in power substations by providing isolated replicas of current or voltage for measurement and protection purposes. Voltage transformers reduce the primary voltage to levels suitable for relay operation and measurement, while current transformers scale down the primary current. The primary winding of a current transformer often consists of a single turn, achieved by threading the...
438
Electrical Energy01:10

Electrical Energy

1.7K
Using electric appliances for a longer period of time consumes more electrical energy and results in a higher electric bill. The energy produced by the transfer of electrons from one point to another is known as electrical energy. If power is delivered at a constant rate, the electrical energy can be defined as the product of power used by the device for a period of time. The energy unit on electric bills is the kilowatt-hour, where one kilowatt-hour is equivalent to 3.6 × 106 joules.
1.7K
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

728
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
728
Electrical Power01:07

Electrical Power

3.7K
Electric power is the product of current and voltage, represented in units of joules per second, or watts. For example, cars often have one or more auxiliary power outlets with which you can charge a cell phone or other electronic devices. These outlets may be rated at 20 amps and 12 volts, so that the circuit can deliver a maximum power of 240 watts. Consider a 25 Watt bulb and a 60 Watt bulb. The conversion of electrical energy produces heat and light, while the kinetic energy lost by the...
3.7K

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相关实验视频

Updated: Jan 18, 2026

A Simple Approach to Perform TEER Measurements Using a Self-Made Volt-Amperemeter with Programmable Output Frequency
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一个仪器式高频智能仪表与嵌入式能源分类.

Dimitrios Kolosov1, Matthew Robinson1, Pascal A Schirmer1

  • 1Intelligent Control Autonomous Systems Lab, School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK.

Sensors (Basel, Switzerland)
|September 13, 2025
PubMed
概括
此摘要是机器生成的。

这项研究介绍了一种新型智能电表原型,该原型通过深度学习在本地执行高频能量分解. 这种基于边缘的方法消除了对云数据传输的需求,提高了智能能源管理的效率和隐私.

关键词:
在边缘的AI.能源分类 能源分类非侵入性负载监控 (NILM) 是一种非侵入性负载监控.智能电表是一个智能电表.

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科学领域:

  • 电气工程 电气工程
  • 计算机科学 计算机科学
  • 能源系统 能源系统

背景情况:

  • 目前的智能电表通常依赖于低采样率和基于云的处理以进行能源分类.
  • 从计量器传输高频数据到云端,带来了带宽,延迟和隐私方面的挑战.

研究的目的:

  • 开发和评估一个能够使用嵌入式深度学习进行本地高频能量分解的原型智能电表.
  • 评估采样频率对模型准确性和边缘设备性能的影响.
  • 引入新的指标来量化边缘设备的非侵入性负载监控 (NILM) 效率.

主要方法:

  • 设计了一种带有定制信号调节电路和嵌入式电路板的智能电表原型.
  • 直接在边缘设备上实施了深度学习模型来进行能量分解.
  • 在六个不同的嵌入式硬件平台上评估了原型的准确性,功耗,吞吐量和延迟.
  • 引入并应用了NILM效率的三个硬件意识性能指标.

主要成果:

  • 原型成功地以高采样频率 (15 kHz) 在本地进行了能量分解.
  • 分析显示了采样频率,模型精度和边缘设备功耗之间的权衡.
  • 跨平台的基准测试提供了对延迟和吞吐量变化的洞察力.
  • 新的指标提供了一种标准化的方法来评估NILM边缘设备的性能.

结论:

  • 在智能电表上进行本地高频能源分解是可行的,并且比基于云的方法提供了优势.
  • 开发的架构可以实现紧且节能的NILM支持边缘计.
  • 硬件意识指标为未来开发和比较NILM边缘设备提供了有价值的框架.