METHOD FOR PREDICTING LOAD, DEVICE, ELECTRONIC APPARATUS, AND STORAGE MEDIUM
To provide a method for predicting a load, a device, an electronic apparatus, and a storage medium that can increase the accuracy of the result of a prediction related to the field of artificial intelligence including deep learning and industrial big data.SOLUTION: A method includes the steps of: de...
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Zusammenfassung: | To provide a method for predicting a load, a device, an electronic apparatus, and a storage medium that can increase the accuracy of the result of a prediction related to the field of artificial intelligence including deep learning and industrial big data.SOLUTION: A method includes the steps of: determining a similar day similar to a predicted day from a history day before the predicted day at a current predicted time of the predicted day; acquiring a temperature difference between the temperature at the time of the predicted day and the temperature at the time of the similar day; determining a load difference between the predicted day and the similar day at the time on the basis of the temperature difference; and determining a load predicted value at the time of the predicted day on the basis of the load value of the time of the similar day and the load difference.SELECTED DRAWING: Figure 1
【課題】ディープラーニングと工業ビッグデータなどの人工知能の分野に係る予測結果の精度を向上させる負荷予測方法、装置、電子機器及び記憶媒体を提供する。【解決手段】方法は、予測される日の現在の予測される時点について、予測される日の前の履歴日から予測される日の類似日を決定するステップと、予測される日の当該時点での気温と類似日の当該時点での気温との間の気温差を取得するステップと、前記気温差に基づいて予測される日と類似日の当該時点での負荷差を決定するステップと、類似日の当該時点での負荷値と前記負荷差に基づいて予測される日の当該時点での負荷予測値を決定するステップと、を含む。【選択図】図1 |
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