Correctly defining and grouping electrical feeders is of great importance for electrical system
operators. In this paper, we compare two different clustering techniques, K-means and …

In this paper we address the problem of short-term electric energy prediction using a time
series forecasting approach applied to data generated by a Paraguayan electricity …

Accurate electrical load forecasting is a difficult task due to the nonlinearity and high volatility
of time series data. In this research, the “decomposition and ensemble” methodology is …

Population growth and technological advances have led to unprecedented consumption of
fossil fuels, which has negative consequences due to environmental pollution. In this …