Electricity forecasting contributes to have an idea of the electricity needs for the expansion of
the electric system, the availability of the power plants according to the installed capacity …

The goal of this paper is to describe a forecasting model for the hourly electricity load in the
area covered by an electric utility located in the southeast of Brazil. A different model is …

Several studies focus on improving forecasting techniques to capture multiple patterns in
time series. The evolution of computing hardware has made possible to solve complex …

Forecasting the industry's electricity consumption is essential for energy planning in a given
country or region. Thus, this study aims to apply time-series forecasting models (statistical …

Accurate and efficient demand forecasting is essential to grid stability, supply, and
management in today's electricity markets. Due to the complex pattern of electric power …

This paper presents short‐term forecasting methods applied to electricity consumption in
Brazil. The focus is on comparing the results obtained after using two distinct approaches …

This paper proposes an alternative method for applying the Moran's I test in exploratory
analyses for spatial autocorrelation. An application of this new method found evidence that …

Currently, in most countries, the electricity sector is liberalized, and electricity is traded in
deregulated electricity markets. In these markets, electricity demand is determined the day …

Medium-term electric energy demand forecasting is a useful tool for grid maintenance
planning and market research of electric energy companies. Several methods, such as …

With the globally increasing electricity demand, its related uncertainties are on the rise as
well. Therefore, a deeper insight of load forecasting techniques for projecting future …