深度学习方法用于预测太阳辐射和淡水产量在修改后的金字塔太阳能仍然存在
Sevda Allahyari1, S M Hosseinalipour2, Sasan Asiaei3,4
1School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran.
Scientific reports
|November 21, 2025
概括
使用CNN和GRU等深度学习模型进行精确的太阳辐射预测,可以改善太阳静止图片的淡水产量预测. 这项研究通过优化海水淡化效率,提高了干旱地区的水安全.
科学领域:
- 环境科学 环境科学
- 可再生能源工程可再生能源工程
- 数据科学数据科学数据科学
背景情况:
- 由于缺水,需要可持续的海水淡化解决方案,太阳能电池在偏远地区提供了一个可行的选择.
- 太阳能静止灯的效率受到可变太阳辐射的阻碍,因此准确的预测是必不可少的.
- 深度学习模型越来越多地用于太阳辐射预测,以提高系统性能.
研究的目的:
- 为了评估修改后的金字塔太阳能仍然在德黑兰和Zahedan,伊朗的淡水产量.
- 用各种深度学习算法预测未来十年的太阳辐射和温度.
- 根据这些预测,预测太阳能电池每月的淡水产量.
主要方法:
- 利用1984年至2023年为德黑兰和扎赫丹的月度数据.
- 采用长期短期记忆 (LSTM),门式循环单元 (GRU),卷积神经网络 (CNN) 和CNN-LSTM算法进行预测.
- 验证了用于预测全球太阳辐射量 (GHI) 和温度的模型性能.
主要成果:
- 在德黑兰,CNN和GRU模型表现出卓越的表现;在Zahedan,LSTM在GHI和温度预测方面表现出色.
- 预计2024-2033年的平均年淡水产量为德黑兰的2630升和扎赫丹的2710升.
- 这项研究成功地预测了太阳能静止灯的月产量.
结论:
- 深度学习模型,特别是CNN,GRU和LSTM,对于太阳辐射预测非常有效.
- 准确的预测显著提高了太阳能静止灯的淡水产量的预测.
- 这些发现支持在缺水地区使用优化的太阳能静止灯来生产水.
相关概念视频
01:57Adaptations that Reduce Water Loss
27.9K
Though evaporation from plant leaves drives transpiration, it also results in loss of water. Because water is critical for photosynthetic reactions and other cellular processes, evolutionary pressures on plants in different environments have driven the acquisition of adaptations that reduce water loss.
27.9K
01:20Maxwell-Boltzmann Distribution: Problem Solving
2.8K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
2.8K
01:12Precipitation Processes
4.7K
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...
4.7K