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"Recurring Multi-layer Moving Window Approach to Forecast Day-ahead and" by Dao H. Vu, Kashem M. Muttaqi et al. - Vimarsana News

"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 techniques. The multi-layer moving window approach allows the layers to adjust their size to accommodate the ...

Source: uow.edu.au
Mental Health & Traumatic Experience: Syrian Refugee Women - Vimarsana News

Mental Health & Traumatic Experience: Syrian Refugee Women

We aimed to investigate the mental health status, traumatic history, social support, and post-traumatic growth (PTG) of Syrian refugee women.

An efficient and cost-effective solution to monitoring air pollution in cities - Vimarsana News

An efficient and cost-effective solution to monitoring air pollution in cities

According to the World Health Organization, ambient air pollution causes over 4 million premature deaths annually. Click to read more...

Oxidative stress in Anemic Dogs - Vimarsana News

Oxidative stress in Anemic Dogs

Anemia is a condition in dogs or pets animals related to a decrease in the level of erythrocytes and a lower in hemoglobin concentration. Based on the scale and form of

Psychometric properties of the EORTC-QLQ-CR29 tool - Vimarsana News

Psychometric properties of the EORTC-QLQ-CR29 tool

Validity and reliability of the Amharic version of EORTC-QLQ-CR29 among colorectal cancer patients in Ethiopia