使用实时数据的短期风速预测模型的性能提升
Maria Ashraf1, Bushra Raza1, Maryam Arshad1
1Department of Electronic and Power Engineering, National University of Sciences and Technology, Karachi, Pakistan.
PloS one
|May 31, 2024
概括
准确的短期风速预测对于可再生能源至关重要. 一个新的混合型号L-LG-S显著提高了风速预测的准确性,帮助高效的风力发电.
科学领域:
- 可再生能源系统可再生能源系统
- 人工智能在能源中的作用
- 环境科学 环境科学
背景情况:
- 传统能源面临着耗尽和环境问题,推动全球向可再生能源转变.
- 风力发电是关键的无碳能源,但其效率取决于精确的风速预测.
- 不能预测的风力模式对稳定的风力发电和轮机安全构成挑战.
研究的目的:
- 开发一种新的混合模型,L-LG-S,用于准确的短期风速预测.
- 评估L-LG-S模型的性能与现有最先进的方法相比.
- 通过改进预测,提高风能发电的可靠性和效率.
主要方法:
- 开发混合L-LG-S模型,集成先进的机器学习和深度学习技术.
- 对拟议模型与用于预测风速的当代算法进行比较分析.
- 使用来自巴基斯坦卡拉奇风力轮机的真实世界风速数据进行验证.
主要成果:
- L-LG-S模型在短期风速预测方面表现出卓越的准确性.
- 与传统模型相比,该模型在训练,验证和测试预测中的准确性提高了98%.
- 包括平均平方误差 (MSE),根平均平方误差 (RMSE) 和平均绝对误差 (MAE) 在内的评估指标证实了该模型的有效性.
结论:
- 混合型L-LG-S模型在精确的短期风速预测方面取得了重大进展.
- 这种改进的预测能力对于优化风力发电和确保运营安全至关重要.
- 该研究强调了先进的混合模型在应对可再生能源整合挑战方面的潜力.
更多相关视频
13:27Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface
Published on: June 8, 2015
8.7K
09:55Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
Published on: December 12, 2013
8.6K
相关概念视频
Wind Turbine Machine Models
122
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
122
Prediction Intervals
2.3K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
2.3K
Precipitation and Co-precipitation
1.8K
Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
1.8K
Precipitation Processes
442
The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...
442
What is Weather?
18.2K
Overview
18.2K
Variation of Atmospheric Pressure
2.2K
Change in atmospheric pressure with height is particularly interesting. The decrease in atmospheric pressure with increasing altitude is due to the decreasing gravitational force per unit area as we move away from the surface of the earth.
Assuming the air temperature is constant at a given altitude and that the ideal gas law of thermodynamics describes the atmosphere to a good approximation, one can find the variation of atmospheric pressure with height.
Let p(y) be the atmospheric pressure at...
Assuming the air temperature is constant at a given altitude and that the ideal gas law of thermodynamics describes the atmosphere to a good approximation, one can find the variation of atmospheric pressure with height.
Let p(y) be the atmospheric pressure at...
2.2K
