引导式测验 · 中等 等级

风能和太阳能预测中的人工智能测验

评估风能和太阳能发电预测、天气输入、不确定性区间、电网运行和预测限制。

相关引导路径风能和太阳能预测中的人工智能
问题 1 的 8

为什么预测风能和太阳能发电量比预测燃煤电厂的发电量更难？

预览每个问题8 问题

当您参加测验时，就会出现答案和解释。

  1. 为什么预测风能和太阳能发电量比预测燃煤电厂的发电量更难？
    • 它们的输出取决于风速和云量等多变的天气
    • 可再生能源工厂始终位于近海
    • 它们产生无法测量的直流电
    • 他们没有可用的历史数据
  2. 所引用的海上风电研究比较了哪些概率方法？
    • Only a CNN on sky-camera images
    • Conformalized quantile regression, natural gradient boosting, and conditional diffusion models
    • A fixed timetable and linear trend
    • A speech recognizer and image captioner
  3. 什么是概率预测？
    • 始终准确的预测
    • 没有任何天气数据的预测
    • 给出可能输出的范围或分布的预测，而不仅仅是一个数字
    • 仅对明年的预测
  4. 在引用的比利时海上风力研究中，使用天气预报集合会改变什么？
    • Accuracy fell by 17% in every region
    • The model no longer needed weather data
    • It proved all renewable forecasts are exact
    • Average point-forecast accuracy improved by 17% in the reported evaluation
  5. 数值天气预报 (NWP) 对长期可再生预报有何贡献？
    • 它物理模拟大气以预测未来几天的风和辐照度
    • 它计算涡轮机的数量
    • 它衡量电价
    • 它取代了对任何人工智能的需求
  6. How much historical data did the cited wind-power forecasting study use for validation?
    • Four hours from one solar panel
    • Four years from Belgian offshore wind farms
    • Forty years from every national grid
    • One year of coal-plant output
  7. Why are probabilistic renewable-energy forecasts useful to grid operators?
    • They guarantee the exact power output
    • They remove weather uncertainty
    • They communicate a range of possible generation outcomes for planning reserves and balancing
    • They replace grid measurements
  8. What happens when actual cloud cover differs from the weather forecast used by a solar model?
    • The solar panels stop generating electricity
    • The model becomes a deterministic forecast
    • The error is always canceled by wind
    • The generation forecast can be wrong, so updates and uncertainty monitoring matter