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相关概念视频

Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

1.2K
The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
1.2K
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
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

485
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...
485
Energy Conservation and Bernoulli's Equation01:16

Energy Conservation and Bernoulli's Equation

10.5K
Applying the conservation of energy principle or the work-energy theorem to an incompressible, inviscid fluid in laminar, steady, irrotational flow leads to Bernoulli's equation. It states that the sum of the fluid pressure, potential, and kinetic energy per unit volume is constant along a streamline.
All the terms in the equation have the dimension of energy per unit volume. The kinetic energy per unit volume is called the kinetic energy density, and the potential energy per unit volume is...
10.5K
Multimachine Stability01:25

Multimachine Stability

537
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
537
Electrical Energy01:10

Electrical Energy

1.6K
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.
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相关实验视频

Updated: Jan 11, 2026

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

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走向自主能源管理:用于有效审计和优化的机器学习.

Sherif Ashraf1, Mira M Zarie1, Sameh O Abdellatif2

  • 1The Electrical Engineering Department and FabLab, Centre of Emerging Learning Technologies CELT, British University in Egypt (BUE), Cairo, 11387, Egypt.

Scientific reports
|November 10, 2025
PubMed
概括

本研究介绍了用于能源管理的自动机器学习模型. 它优化了住宅和商业负载的消耗,实现了显著的节能和降低成本.

关键词:
能源管理 能源管理节能节能节能 节能节能节能负载分类 负载分类 负载分类机器学习 机器学习可持续发展 可持续性 可持续性

相关实验视频

Last Updated: Jan 11, 2026

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

2.1K

科学领域:

  • 能源管理 能源管理
  • 机器学习 机器学习
  • 可持续发展 可持续性 可持续性

背景情况:

  • 能源需求的增加需要有效的管理策略.
  • 传统的能源审计方法可能耗时且不太准确.
  • 技术进步为自动化能源优化提供了机会.

研究的目的:

  • 开发和评估一个完全自动化的能源管理和审计程序.
  • 利用机器学习进行负载分类,基准测试和智能监控.
  • 在各种应用中展示技术经济优化和显著的能源节约.

主要方法:

  • 利用机器学习来根据消费模式对能源负载进行分类.
  • 使用历史数据分析建立了绩效基准.
  • 实现实时监控以识别低效率和预测未来使用情况.

主要成果:

  • 实现了大幅度的能源节约:34.73 MWh/年 (基本负载,埃及),215.67 MWh/年 (大学空调),0.9 MWh/年 (银行照明),0.9 MWh/年 (住宅).
  • 证明了该模型以技术经济的方式优化能源消耗的能力.
  • 在四个不同的案例研究中验证了有效性.

结论:

  • 自动化机器学习模型对能源效率和可持续性非常有效.
  • 该程序为适应不断变化的能源需求提供了变革性的潜力.
  • 通过优化能源使用,可以大大节省成本.