一个推系统,用于提高太阳能智能家居的能源效率
Quentin Meteier1, Mira El Kamali1, Leonardo Angelini1,2
1HumanTech Institute, University of Applied Sciences and Arts Western Switzerland (HES-SO), 1700 Fribourg, Switzerland.
Sensors (Basel, Switzerland)
|September 28, 2023
概括
这项研究引入了一个人工智能推系统,用于带有太阳能电池板的智能家居,以优化没有电池的能源使用. 该系统预测能源的生产和消费,并为居民提供相关建议.
科学领域:
- 可再生能源系统可再生能源系统
- 人工智能的人工智能
- 智能家居技术 智能家居技术
背景情况:
- 光伏 (PV) 能源的优化对于环境效益至关重要.
- 对于光伏系统的电池存储具有显著的生态足迹.
- 智能家居需要无电池太阳能电池板的高效能源管理解决方案.
研究的目的:
- 开发和评估一个由人工智能驱动的推系统,以优化智能家居中的能源生产,使用无电池太阳能电池板.
- 使用多个数据源预测每天的能源生产和消费.
- 为居民生成和排名相关的能源使用建议.
主要方法:
- 开发了一个AI推系统,利用家庭自动化传感器日志,太阳能逆变器数据和天气数据.
- 使用76天的数据训练了两个系统变体:一个考虑能源消耗,另一个不考虑.
- 11名人类参与者在14天内评估了建议的相关性,准确性和排名逻辑.
主要成果:
- 仅从传感器日志中预测居民的能源消耗是具有挑战性的.
- 平均而言,74%的建议被参与者认为是相关的.
- 推中的特定能量值 (kW) 的准确性为1种变种的66%,为2种变种的77%.
- 在超过88%的案例中,建议排名被认为是合乎逻辑的.
结论:
- 人工智能推系统显示了优化太阳能智能家居能源生产的潜力.
- 居民可能会接受使用此类系统来改进能源管理.
- 需要进行进一步的研究,以提高系统建议中的特定能量值的准确性.
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