Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Principal Moments of Area01:14

Principal Moments of Area

1.1K
In mechanics, the product of inertia and moments of inertia of area help to calculate the stability and performance of various structures and components. The coordinate transformation relations are used to calculate the moments and products of inertia for an area about the inclined axes. Further, the moments and products of inertia with respect to the principal axes can be determined using the moments and products of inertia about the inclined axes.
The principal moment of inertia axes are the...
1.1K
Classification of Systems-II01:31

Classification of Systems-II

140
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
140
Reducing Line Loss01:18

Reducing Line Loss

151
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...
151
Aggregates Classification01:29

Aggregates Classification

317
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
317
Classification of Signals01:30

Classification of Signals

449
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
449
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

51
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
51

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Effect of External Heating on Silicone Gel Breast Implants: Can Heat Exposure Precipitate Burns and Implant-Related Complications?

Plastic and reconstructive surgery·2023
查看所有相关文章

相关实验视频

Updated: Jun 26, 2025

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
06:50

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Published on: November 8, 2019

6.6K

通过强大的主要组件分析,缩小尺寸来提高NILM分类.

Arbel Yaniv1, Yuval Beck1

  • 1Department of Physical Electronics, School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel.

Heliyon
|May 17, 2024
PubMed
概括

本研究介绍了一种强大的主要组件分析 (PCA) 方法,用于非侵入性负载监控 (NILM). 该技术提高了从汇总数据中估计个别设备能源消耗的准确性和效率.

科学领域:

  • 电气工程 电气工程
  • 能源系统 能源系统
  • 数据科学数据科学数据科学

背景情况:

  • 非侵入性负载监控 (NILM) 通过汇总数据来估计个别设备的能耗.
  • 整合电源功能可以提高NILM的准确性,但会增加计算复杂性,阻碍实时应用.
  • 以前的主要组件分析 (PCA) 方法减少了维度,但影响了准确性.

研究的目的:

  • 开发一种改进的NILM技术,使用强大的PCA来提高准确性和实时性能.
  • 为了减轻数据异常值对NILM准确性的影响.
  • 在标准数据集上对拟议的方法进行评估,并进行广泛的功率质量测量.

主要方法:

  • 使用了强大的主要组件分析 (PCA) 方法来处理电源质量数据中的异常值.
  • 将该方法应用于七台设备的600小时功率质量测量数据集.
  • 专注于减少时间复杂性,同时保持负载分类的高精度.

主要成果:

  • 在估计个别电器能源消耗时获得了超过96%的准确性.
  • 与以往基于PCA的NILM方法相比,显著改善.
  • 成功地减轻了异常值的影响,导致更可靠的负载监控.

更多相关视频

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.6K
Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach
09:32

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

Published on: September 26, 2019

7.2K

相关实验视频

Last Updated: Jun 26, 2025

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
06:50

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Published on: November 8, 2019

6.6K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.6K
Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach
09:32

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

Published on: September 26, 2019

7.2K

结论:

  • 强大的PCA方法为NILM提供了高度准确和高效的解决方案.
  • 这种方法适合实时应用,因为它提高了时间复杂度.
  • 这些发现支持使用先进的维度减小技术来进行能量分解.