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In this paper, we focus on the prediction method of building energy consumption time series. The building energy consumption data can be regarded as a time series, which is usually nonlinear and non-stationary. Traditional time series analysis model has lower prediction accuracy. Then the machine learning method, especially support vector regression algorithm always has better performance to deal...
Prediction of energy consumption is an important task in energy conservation. Due to support vector regression has good performance in dealing with non-linear data regression problem, in recent years it often was used to predict building energy consumption. Based on the historical data we conclude the relationship between lighting energy consumption and its influencing factors is non-linear. To develop...
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