The growing adoption of photovoltaic systems as a result of government incentives and the
cost-effectiveness of the technology will bring significant environmental benefits and help …

Electric load forecasting, especially short-term load forecasting, is of significant importance
for the safe and efficient operation of power grids. With the wide adoption of advanced smart …

This article reviews different kinds of models for the electric power grid that can be used to
understand the modern power system, the smart grid. From the physical network to abstract …

Existing short-term bus load forecasting methods mostly use temporal domain features, such
as historical loads, to forecast and do not fully consider the influence of unstructured spatial …

The abundance of energy consumption data collected by smart meters has inspired
researchers to employ deep neural networks to solve the existing problems in the power …

Artificial intelligence (AI) as a multi-purpose technology is gaining increased attention and is
now widely used across all sectors of the economy. The growing complexity of planning and …

Load forecasting is an essential step in power systems operations with important technical
and economical impacts. Forecasting can be done both at aggregated and stand-alone …

Short-term residential load forecasting (STRLF) holds great significance for the stable and
economic operation of distributed power systems. Different households in the same region …

With the rapid urbanization, electrical infrastructure spreads to raw areas without existing
loads. How to achieve accurate long-term load forecasts based on land use plans is a …

Together with the increasing population and urbanization, cities have started to face
challenges that hinder their socio-economic and sustainable development. The concept of …