"Recurring Multi-layer Moving Window Approach to Forecast Day-ahead and" by Dao H. Vu, Kashem M. Muttaqi et al.
The incorporation of weather variables is crucial in developing an effective demand forecasting model because electricity demand is strongly influenced by weather conditions. The dependence of demand on weather conditions may change with time during a day. Therefore, the time stamped weather information is essential. In this paper, a multi-layer moving window approach is proposed to incorporate the significant weather variables, which are selected using Pearson and Spearman correlation technique...
Australian Energy Market Operator New South Wales Autoregressive Ar Model Road Forecasting Ulti Layer Moving Window Pearson Correlation
Source: uow.edu.au