通过夜间卫星图像预测印度的电力消耗
Darshini R1, Akshay Kumar1, Maria Anu Vensuslaus2
1Student, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India.
PloS one
|September 25, 2025
概括
夜光卫星图像准确预测印度的电力消耗,帮助能源管理和可再生能源决策. 这种遥感方法为可持续发展目标提供可靠的数据.
科学领域:
- 遥感 遥感 遥感 遥感
- 能源经济学 能源经济学
- 可持续发展 可持续发展 可持续发展
背景情况:
- 准确的电力消耗预测对于有效的能源管理和可再生能源政策至关重要.
- 政府关于采用能源的决定越来越依赖于精确的消费数据.
- 可持续发展目标7 (负担得起和清洁的能源) 和10 (减少不平等) 需要强有力的能源监测.
研究的目的:
- 调查夜光卫星图像的预测能力,用于预测印度的电力消耗.
- 评估夜间光线强度与电力使用模式之间的相关性.
- 评估遥感数据对能源需求分析和政策支持的有用性.
主要方法:
- 利用了来自VIIRS卫星和NASA黑色大理石产品的数据.
- 采用各种长期短期记忆 (LSTM) 模型进行电力消耗的时间序列分析.
- 应用了k-means集群,用于对消费变化的状态智能空间分析.
主要成果:
- 在夜间光线强度和电力消耗之间显示出强烈的相关性.
- 在电力需求预测方面实现了高精度,平均绝对百分比误差 (MAPE) 低于10%,根平均平方误差 (RMSE) 低于20 MU.
- 识别了夜间照明数据作为电力需求的可靠指标.
结论:
- 夜光卫星图像是印度能源预测的可行和有效工具.
- 遥感技术为能源动态和可持续发展议程提供了可操作的见解.
- 该研究强调了夜间照明数据在推动能源管理和政策倡议方面发挥的关键作用.
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