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相关概念视频

Energy Conservation and Bernoulli's Equation01:16

Energy Conservation and Bernoulli's Equation

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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...
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Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
1.1K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
378
Open and closed-loop control systems01:17

Open and closed-loop control systems

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Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
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Energy Budgets00:51

Energy Budgets

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Organisms must balance energy intake with the energy required for growth, maintenance and reproduction. These trade-offs result in a variety of survivorship and reproductive strategies, including semelparity and iteroparity. Semelparous species, like annual plants, have only one reproductive episode in their lifetimes and consequently have short lifespans. Iteroparous species, by contrast, have many reproductive events during their lifetimes but have relatively few offspring. These two...
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Conservation of Energy in Control Volume01:14

Conservation of Energy in Control Volume

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Consider a turbine operating under steady-flow conditions. The control volume is drawn around the turbine, with fluid entering at one point and exiting at another. The turbine extracts energy from the fluid, which performs mechanical work (shaft work).
For steady flow systems, the time derivative of the stored energy becomes zero since there is no energy accumulation within the control volume. This simplifies the energy equation to:
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相关实验视频

Updated: Jan 11, 2026

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
05:50

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger

Published on: January 16, 2020

6.2K

深度学习和多目标优化,用于智能建筑中的基于占用率的实时能源控制.

Shaoqi Zhang1,2, Cheng Kong3

  • 1School of Education Department, Communication University of China, Nanjing, Nanjing, 211000, China. zsq18651881699@163.com.

Scientific reports
|November 11, 2025
PubMed
概括

这项研究使用室内环境数据预测房间占用率,以提高能源效率和舒适度. 深度学习模型准确预测能源需求,优化建筑物管理.

关键词:
深度学习是一种深度学习.能源效率 能源效率是指能源的使用效率.预测 预测 预测房间占用情况.智慧城市是智慧城市.可持续的建筑 可持续的建筑

相关实验视频

Last Updated: Jan 11, 2026

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
05:50

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger

Published on: January 16, 2020

6.2K

科学领域:

  • 建筑科学 建筑科学
  • 人工智能的人工智能
  • 能源管理 能源管理

背景情况:

  • 室内环境条件可以预测房间占用率,影响能源效率和乘客舒适度.
  • 传统的能源管理系统缺乏适应性,并与非线性关系作斗争.

研究的目的:

  • 调查室内环境参数 (CO2,照明,湿度,温度) 对房间占用情况的预测能力.
  • 为智能建筑引入一种新的深度学习增强的预测能量建模 (DL-PEM) 框架,并采用多目标粒子群集优化 (MOPSO).
  • 通过将能源消耗和二氧化碳水平降至最低,同时最大限度地提高热舒适度来优化实时能源管理.

主要方法:

  • 在DL-PEM中使用深度前神经网络 (DNN) 来建模环境变量和占用率之间的非线性关系.
  • 集成的MOPSO为巴雷托最佳管理能源消耗,二氧化碳减少和热舒适之间的权衡.
  • 根据占用预测实时调整自适应的HVAC和照明控制.

主要成果:

  • 实现了99.8%的预测准确度和高达85%的优化效率.
  • 超越基线模型,包括KNN,DT,AO-ANN和LSTM用于预测和控制任务.
  • 在实证评估中与真实建筑数据相比,在实证评估中表现出与传统模型相比的显著改进.

结论:

  • DL-PEM-MOPSO框架为智能建筑能源管理提供了一个可扩展,可适应和未来的解决方案.
  • 提高决策透明度和改善占用数据分析.
  • 成功优化了热舒适度,并实现了精确的电力需求预测,从而提高了整体能源利用率.