Recently, high rates of urbanization reveal the need for more granular approaches of long-
term load forecasting. The development of modern spatial load forecasting (SLF) methods …

The electrical energy system is in transition. There is continuing expansion of renewable
generation, which causes a spatial and temporal shift of energy flows at different voltage …

Spatial load forecasting methodologies spatially allocate expected electricity demand
growth in a study area. In the last decades, this kind of forecasting has been applied to …

Local energy self‐sufficiency, in which the supply and demand of electricity are controlled
such that the generated power from distributed energy resources (DERs) is consumed …

The use of distributed energy resources (DERs) in a city contributes to the net zero CO2 of a
city. However, the spatially uneven distribution of power demand and surplus electricity …

A massive amount of data about individual electrical consumptions are now provided with
new metering technologies and smart grids. These new data are especially useful for load …

The outbreak of COVID-19 has resulted in a shift in economic and social conditions. Most of
the electrical energy use is in buildings or dwellings near utility facilities. Therefore, this …

An effective way to mitigate climate change is to electrify most of our energy demand and
supply the necessary electricity from renewable wind and solar power plants. Spatio …

En la actualidad las empresas distribuidoras del país realizan la planificación del sistema
eléctrico enfocándose a solventar los problemas de carga en redes de subtransmisión, para …

In today's economy, there is a strong need to forecast and predict future load demands in
order to estimate the amount of load required and to properly prepare the planning …