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Distribution Reliability and Automation01:25

Distribution Reliability and Automation

91
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
91
Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

16
Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short...
16
Power in a Three-Phase Circuit01:15

Power in a Three-Phase Circuit

266
Three-phase systems have two configurations: the wye and delta. A star configuration can be three or four wires; in a delta configuration, the components are connected in a closed loop. Instantaneous power refers to the power value at a precise moment, and in a balanced three-phase system, it is constant. This is because the sum of the instantaneous powers in the three phases remains steady over time, despite individual fluctuations, due to the symmetry and phase relationship. The total...
266
Secondary Distribution01:25

Secondary Distribution

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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...
68
Electrical Systems01:21

Electrical Systems

350
In electrical engineering, the analysis of networks composed of passive linear components — resistors (R), capacitors (C), and inductors (L) — is fundamental. These components are organized into circuits where the relationship between input and output can be analyzed using transfer functions. The transfer function of an RLC circuit, which relates the voltage across a capacitor to the input voltage, can be derived using Kirchhoff's laws.
To derive the transfer function, consider...
350
Electrical Power01:07

Electrical Power

3.0K
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...
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相关实验视频

Updated: May 10, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
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通过人工智能驱动的分布式测量系统在教育大楼中对电量进行全面预测.

Virginia Negri1, Roberto Tinarelli1, Lorenzo Peretto1

  • 1Department of Electrical, Electronic and Information Engineering, Guglielmo Marconi Alma Mater Studiorum, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy.

Sensors (Basel, Switzerland)
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概括

本研究介绍了用于教育建筑的AI驱动的智能基础设施,以改善能源管理. 该系统可靠地预测电气参数,从而实现最佳的能源使用和可扩展性.

关键词:
准确度 准确度 准确度 准确度 准确度人工智能的人工智能是人工智能.数字双胞胎数字双胞胎是什么意思分布式测量系统是一个分布式测量系统.能量计 能量计 能量计预测 预测 预测 预测传感器 传感器 传感器

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科学领域:

  • 可持续的能源系统可持续的能源系统
  • 电网中的人工智能
  • 建筑能源管理 建筑能源管理

背景情况:

  • 越来越多的环境问题需要在所有部门,包括电力系统的可持续解决方案.
  • 建筑物越来越多地被设计成净零排放或改装以提高能源效率.
  • 有效的能源管理对于优化电力系统性能和减少环境影响至关重要.

研究的目的:

  • 通过智能基础设施增强教育建筑的能源管理能力.
  • 实施和验证人工智能驱动的框架,用于预测电气参数.
  • 探索人工智能模型在基础设施内的不同测量节点的概括性.

主要方法:

  • 安装光伏电池板和分布式测量系统,以收集电压,电流和功率数据.
  • 开发和应用人工智能驱动的数据管理和预测框架.
  • 人工智能模型的实验验证和收集数据的相关性分析.

主要成果:

  • 实施的系统提供了可靠的电气参数预测.
  • 分布式测量系统和数据分析为能源优化提供了宝贵的见解.
  • 人工智能模型展示了跨测量节点的概括能力,即使有数据缺口.

结论:

  • 智能基础设施有效地支持信息化行动,以优化能源管理和系统性能.
  • 该研究强调了准确预测的潜力,并强调了扩展性部署的容易性.
  • 这些发现支持在类似的基础设施中适应该系统,以提高能源效率.