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相关概念视频

Electrical Energy01:10

Electrical Energy

1.2K
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.
1.2K
Electrical Power01:07

Electrical Power

3.1K
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...
3.1K
Energy and Power Signals01:17

Energy and Power Signals

287
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:
287
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

191
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:
191
Generation of Three-Phase Voltage01:21

Generation of Three-Phase Voltage

376
A three-phase AC generator has a rotor with a rotating magnet placed within the stator mounted with the stationary three-phase winding to generate three-phase voltages via mutual induction. These windings are evenly distributed around the inner circumference of the stator and are arranged 120 electrical degrees apart. Three-phase stator windings consist of three separate coils or groups of coils, known as phases, each connected in Y (star) configuration or Delta configuration.
As the rotor...
376
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

107
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
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相关实验视频

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基于深度学习的电力消耗预测.

Momina Qureshi1, Masood Ahmad Arbab1, Sadaqat Ur Rehman2

  • 1Department of Computer Systems Engineering, University of Engineering and Technology Peshawar, Peshawar, Pakistan.

Scientific reports
|March 19, 2024
PubMed
概括

建筑能源管理系统 (BEMS) 使用LSTM时间序列分析准确预测电力消耗. 这种方法优化了建筑的能源效率,并在预测能源使用趋势时达到95%的准确性.

科学领域:

  • 建筑科学 建筑科学
  • 能源系统工程 能源系统工程
  • 人工智能在能源中的作用

背景情况:

  • 建筑能源管理系统 (BEMS) 对于监测和控制现代建筑物的能源消耗至关重要.
  • 有效的BEMS实施减少了能源使用,提高了能源供应质量,并提高了乘客舒适度.
  • 了解建筑的能源动态是确定有效的节能战略的关键.

研究的目的:

  • 为解决BEMS的模型优化和电力消耗预测问题.
  • 开发和验证基于LSTM的时间序列方法,用于预测未来的能源使用.
  • 在现实世界医院设施的能源消耗数据上测试拟议的方法.

主要方法:

  • 利用长短期记忆 (LSTM) 神经网络进行电力消耗的时间序列预测.
  • 应用模型优化技术来提高预测方法的性能.
  • 收集和分析来自医院设施的实际电力消耗数据.

主要成果:

  • 基于LSTM的时间序列方法在实际数据上准确预测了电力消耗趋势.
  • 模型优化器显著提高了拟议的能源管理策略的性能.
  • 实现了对目标功能增益的95%准确性,证明了方法的有效性.
关键词:
异常检测检测异常检测在BEMS中,预测电力需求 预测电力需求能源消耗 能源消耗是指能源的消耗.预测未来的情况.这是LSTM的LSTM.模型优化器模型优化器

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结论:

  • 开发的BEMS策略对于准确预测电力消耗是有效的.
  • 基于LSTM的时间序列分析是预测建筑物能源消耗的可行方法.
  • 该研究表明,通过先进的BEMS,医院设施具有大幅节能和提高效率的潜力.