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Forecasting solar power generation using real-time power data, weather data, and complexity-based similarity factors

机译:使用实时功率数据,天气数据和基于复杂度的相似性因子预测太阳能发电量

摘要

Embodiments are directed to a computer-implemented method, computer system, and computer program product of forecasting power generation. The method includes analyzing a set of historical power generation data. Thereafter a set of clusters is determined wherein each cluster of the set of clusters represents power generated during the time period. Then receiving actual power generation data for a portion of the time period. Thereafter, determining which cluster of the set of clusters contains historical power generation data that is most similar to the actual power generation data. Then forecasting power generation for a remainder of the time period, using the historical power generation data of the cluster.
机译:实施例涉及预测电力产生的计算机实现的方法,计算机系统和计算机程序产品。该方法包括分析一组历史发电数据。此后,确定一组集群,其中该组集群中的每个集群表示在该时间段期间产生的功率。然后,在一段时间内接收实际发电数据。此后,确定一组集群中的哪个集群包含与实际发电数据最相似的历史发电数据。然后,使用群集的历史发电量数据预测剩余时间段的发电量。

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