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相关概念视频

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

267
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
267
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

376
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...
376
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

201
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
201
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.1K
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
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

480
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...
480
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

339
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
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相关实验视频

Updated: Jan 10, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

1000

使用基于大型语言模型的多代理框架,用于能源改造的自动化建筑能源建模.

Jie Lu1,2, Zeyu Zheng1, Max Langtry2

  • 1Institute of Refrigeration and Cryogenics, Zhejiang University, Hangzhou, China.

iScience
|November 24, 2025
PubMed
概括

使用大型语言模型的新框架Data2BEM,自动化了用于改造的建筑能源建模. 这种工具大大缩短了建模时间,使能效升级更容易获得.

关键词:
人工智能的人工智能是人工智能.能源工程 能源工程是指能源工程.

相关实验视频

Last Updated: Jan 10, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

1000

科学领域:

  • 建筑科学 建筑科学
  • 人工智能的人工智能
  • 计算工程 计算工程

背景情况:

  • 建筑能源建模对于有效的改造设计至关重要,但往往耗时.
  • 目前的方法需要大量的手工努力和专业知识,限制了可扩展性.

研究的目的:

  • 引入Data2BEM,这是一个利用大型语言模型 (LLM) 和多代理系统的新型框架.
  • 从各种数据来源自动生成和校准建筑能源模型.

主要方法:

  • 数据2BEM分析建筑图纸,规格和传感器数据.
  • 它采用了一个多代理框架,用于自动模型生成和校准.
  • 该系统被应用于剑桥大学的一办公楼.

主要成果:

  • Data2BEM生成了一个校准的建筑能源模型,符合行业准确性标准.
  • 与专业实践相比,该框架将建模时间减少了90%以上 (48分钟而不是8-32小时).
  • 它成功地使热电化改装的评估成为可能.

结论:

  • 基于LLM的多代理方法可以大大加快建筑改造分析.
  • 数据2BEM降低了从业人员的专业知识和时间障碍.
  • 这种方法支持建筑行业可扩展的脱碳化战略.