通过注意力增强的Seq2Seq转移学习在绿色建筑中进行气候适应性能源预测
Fang Peng1, Tao Su2, Qing Zeng1
1College of Architecture and Urban Planning, Hunan City University, Yiyang, Hunan, China.
Scientific reports
|August 29, 2025
概括
这项研究引入了绿色建筑的先进能源预测框架,提高了气候的准确性和适应性. 这种模式可以提高能源管理效率,减少碳排放.
科学领域:
- 建筑科学
- 人工智能
- 可持续能源
背景情况:
- 绿色建筑的能源消耗预测是复杂的,因为气候与建筑的相互作用和时间的能源使用模式.
- 现有的模型与长期依赖和多样化的气候条件作斗争, 限制了实际应用.
- 精确的预测对于优化能源管理和减少建筑物的环境影响至关重要.
研究的目的:
- 使用先进的人工智能技术开发绿色建筑的综合预测框架.
- 提高不同气候区的能源消耗预测的准确性和适应性.
- 通过更好的能源管理,提高建筑业的能源效率和减少碳排放.
主要方法:
- 实现了与强化学习和转移学习集成的序列对序列 (Seq2Seq) 架构.
- 利用长期短期记忆 (LSTM) 网络与注意力机制来建模时间依赖性和气候变化.
- 员工转移学习以适应不同的气候区域和建筑类型.
主要成果:
- 在公共绿色建筑数据集上实现了96.2%的准确性,平均平方误差为0.2635,确定系数 (R2) 为0.98.
- 在各种气候条件和建筑类型中表现出强大的概括能力.
- 在极端天气事件中观察到15-20%的RMSE增加,突出了限制.
结论:
- 拟议的框架显著改善了绿色建筑的能源消耗预测,为加强能源管理提供了潜力.
- 该研究强调了该框架适用于具有可靠传感器基础设施和足够的历史数据的建筑物.
- 进一步的研究可以专注于在极端天气事件中提高性能和减少数据需求.
相关概念视频
Global Climate Change
24.7K
Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
24.7K
Energy and Power Signals
569
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:
569
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...
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
Heating and Cooling Curves
23.9K
When a substance—isolated from its environment—is subjected to heat changes, corresponding changes in temperature and phase of the substance is observed; this is graphically represented by heating and cooling curves.
For instance, the addition of heat raises the temperature of a solid; the amount of heat absorbed depends on the heat capacity of the solid (q = mcsolidΔT). According to thermochemistry, the relation between the amount of heat absorbed or released by a substance, q, and its...
For instance, the addition of heat raises the temperature of a solid; the amount of heat absorbed depends on the heat capacity of the solid (q = mcsolidΔT). According to thermochemistry, the relation between the amount of heat absorbed or released by a substance, q, and its...
23.9K
Energy Budgets
9.7K
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
Energy Line and Hydraulic Gradient Line
1.4K
Based on Bernoulli's equation, the energy line (EL) and hydraulic grade line (HGL) provide graphical representations of energy distribution in a fluid flow system. For steady, incompressible, inviscid flows, Bernoulli's equation is expressed as:
1.4K


