… final electricity cost are evaluated using regression analysis. Regression analysis was used
in this … with electricity consumption and cost data obtained from an oil processing company in …

… the given data to establish the pattern of energy consumption [24]. Cleaning and providing
… Artificial neural network (ANN) models are a non-linear information processing technique …

… similarity for regression problems like building energy consumption, in-processing methods
that set … In-processing methods could achieve specific fairness measures chosen by the …

… regression, orthogonal design factors were processed with … in the specific energy consumption
regression model show … influence on the specific energy consumption. The compressing …

… From the results of this study, it was observed that the lumber production increased as the
smaller thickness lumber processed was increased since drying thinner lumber boards was …

… recognition mechanism and the knowledge processing mechanism of forgetful memory of
… [19] combined the fruit fly optimization algorithm and generalized regression neural network …

… energy consumption. Based on the historical data we conclude the relationship between
lighting energy consumption … of lighting energy consumption, the support vector regression with …

… behavior of energy consumption with only conventional time series and fuzzy regression
could be an … Also we showed that after data preprocessing, data post processing is needed. …

… building energy consumption in energy-… regress (SVR) to forecast building energy
consumption in southern China. To improve the reliability of SVR in building energy consumption …

… energy consumption and enhance the predictive capability of the model, in this study, a
data-driven evidential regression (… This step mainly involves outlier processing and relevant data …