Short-Term Load Forecasting 2019 

<br/><br/><br/>English[eng] 
<br/><br/><label>Subjects--Topical Terms: </label><br/>short-term load forecasting||demand-side management||pattern similarity||hierarchical short-term load forecasting||feature selection||weather station selection||load forecasting||special days||regressive models||electric load forecasting||data preprocessing technique||multiobjective optimization algorithm||combined model||Nordic electricity market||electricity demand||component estimation method||univariate and multivariate time series analysis||modeling and forecasting||deep learning||wavenet||long short-term memory||demand response||hybrid energy system||data augmentation||convolution neural network||residential load forecasting||forecasting||time series||cubic splines||real-time electricity load||seasonal patterns||Load forecasting||VSTLF||bus load forecasting||DBN||PSR||distributed energy resources||prosumers||building electric energy consumption forecasting||cold-start problem||transfer learning||multivariate random forests||random forest||electricity consumption||lasso||Tikhonov regularization||load metering||preliminary load||short term load forecasting||performance criteria||power systems||cost analysis||day ahead||feature extraction||deep residual neural network||multiple sources||electricity