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相关概念视频

Conservation of AC Power01:15

Conservation of AC Power

397
The principle of power preservation is applicable to both ac and dc circuits. This principle, when applied to AC power, asserts that the complex, real, and reactive powers produced by the source are equal to the total complex, real, and reactive powers absorbed by the loads. When two load impedances are connected in parallel to an ac source V, the complex power provided by the source can be calculated using the relation
397
Electrical Energy01:10

Electrical Energy

1.3K
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.
1.3K
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...
9.7K
Electrical Power01:07

Electrical Power

3.2K
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...
3.2K
Energy Conservation and Bernoulli's Equation01:16

Energy Conservation and Bernoulli's Equation

9.4K
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...
9.4K
Energy and Power Signals01:17

Energy and Power Signals

609
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:
609

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相关实验视频

Updated: Sep 16, 2025

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
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适应性电力消耗预测方法用于通用环境.

Shiqi Zhou1,2, Saisai Ni1,2, Yifeng Han1

  • 1College of Electronic Information, Hangzhou Dianzi University, Hangzhou, 310018, China.

Scientific reports
|July 8, 2025
PubMed
概括

本研究引入了适应性电力消耗预测模型,以改善电力系统管理. 新方法通过解决用户差异和电力数据中的概念漂移来提高预测准确性.

关键词:
概念的漂移概念的漂移预测电力消耗的预测隐藏的马尔科夫模型概率预测可能的预测.

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Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment

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Last Updated: Sep 16, 2025

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科学领域:

  • 电力系统工程 电力系统工程
  • 数据科学数据科学数据科学
  • 机器学习 机器学习

背景情况:

  • 准确的电力消耗预测对于电力系统稳定性和智能管理至关重要.
  • 传统的预测模型往往无法解释用户异质性和概念漂移.
  • 由数据分布变化引起的概念漂移会随着时间的推移对预测准确性产生重大影响.

研究的目的:

  • 开发适应性电力消耗概率预测方法,用于通用环境.
  • 解决传统方法在处理用户异质性和概念漂移方面的局限性.
  • 提高电力消耗预测的准确性和适应性.

主要方法:

  • 实施了基于消除非单调相关性的递归特征选择,用于适应性特征确定.
  • 使用联合损失函数,将点和概率预测结合起来,用于精确的在线错误量化.
  • 整合了一个缓冲器来存储模式变化的批量数据,并动态调整权重以减轻概念漂移.

主要成果:

  • 拟议的通用环境适应性电力消耗预测 (AECF-UC) 方法与主流方法相比,表现优越.
  • 在AECF-UC中,平均RMSE,球损失和CRPS分别为0.3041,0.0567和0.1683.
  • 与单次损失方法相比,关节损失函数的预测准确度提高了约6%.

结论:

  • AECF-UC方法在普遍性和适应性方面具有显著的优势,用于预测电力消耗.
  • 提出的方法有效地处理动态环境中的用户异质性和概念漂移.
  • 这种自适应预测模型有助于更稳定的运行和电力系统的智能管理.