Energy consumption forecasting as a service

Konstantin Danilov,Svetlana Maltseva

2021 IEEE 23rd Conference on Business Informatics (CBI)(2021)

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摘要
The analysis and forecasting of time series in relation to the problem of forecasting energy consumption is considered. A scheme for constructing a forecast model, a forecasting method and algorithm, taking into account the features of the analyzed time series, is proposed. The developed machine learning pipeline works in automated mode and it allows to make forecasts of energy consumption. The im...
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关键词
time series forecasting,feature engineering,automated machine learning,service architecture
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