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 …

Spatiotemporal models to estimate electricity demand are scarce in the existing literature. In
this paper, we compare three models to estimate elasticities and forecast demand for …

We present a framework for incorporating weather uncertainty into electricity demand
forecasting when weather patterns cannot be assumed to be stable, such as in climate …

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 …

This work describes a methodology for long-term electricity demand forecast in the
residential sector. The methodology has been used in the power market studies of some …

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 …

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 …

Energy policies are often related to the global effort in reducing greenhouse gas emissions
through increased use of renewable energies in electricity production. The impact of these …

This paper aims at understanding the drivers of residential electricity demand in the Gulf
Cooperation Council countries by applying the structural time series model. In addition to the …

Electricity is a critical utility for social growth. Accurate estimation of its consumption plays a
vital role in economic development. A database that included past electricity consumption …