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Solar power generation prediction model management APPARATUS AND METHOD for setting the renewal cycle of the deep run-based solar power generation prediction model

机译:用于设定基于深度运行的太阳能发电预测模型的更新周期的太阳能发电预测模型管理装置和方法

摘要

Disclosed are an apparatus for managing a solar energy generation prediction model to set an update interval of a solar energy generation prediction model based on deep learning and a method thereof. The method for managing solar energy generation prediction model may comprise the steps of: relearning the latest information by changing information of the prediction model to the latest information when an update interval of the prediction model has elapsed; determining whether to change the prediction model by comparing an actual value with a prediction value according to the prediction model when the update interval of the prediction model has not elapsed; and predicting amount of solar energy generation using one of the prediction model, the relearned prediction model, and the changed prediction model.
机译:公开了一种用于管理太阳能发电预测模型以基于深度学习来设置太阳能发电预测模型的更新间隔的设备及其方法。用于管理太阳能发电预测模型的方法可以包括以下步骤:当预测模型的更新间隔已经过去时,通过将预测模型的信息改变为最新信息来重新获得最新信息;以及当预测模型的更新间隔还没有过去时,通过将实际值与根据预测模型的预测值进行比较来确定是否改变预测模型;以及使用预测模型,再学习的预测模型和改变的预测模型之一来预测太阳能发电量。

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