Balancing the production and consumption of electricity is an urgent task. Its implementation
largely depends on the means and methods of planning electricity production. Forecasting is …

In this article, a systematic literature review of 419 articles on energy demand modeling,
published between 2015 and 2020, is presented. This provides researchers with an …

The ability to predict short-term electric energy demand would provide several benefits, both
at the economic and environmental level. For example, it would allow for an efficient use of …

Due to the availability of smart metering infrastructure, high-resolution electric consumption
data is readily available to study the dynamics of residential electric consumption at finely …

Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …

The objectives of sustainable development aim to find a balance between economic, social,
and ecological plans through which to reduce the use of the planet's resources without …

As the digitalization process has become more and more important in our daily lives, during
recent decades e-commerce has greatly increased in popularity, becoming increasingly …

Energy conservation measures (ECM) through awareness, good housekeeping measures
and demand side management are the first step that must be implemented to achieve …

The accurate forecasting of the hourly month-ahead electricity consumption represents a
very important aspect for non-household electricity consumers and system operators, and at …

In this paper, we report a study having as a main goal the obtaining of a method that can
provide an accurate forecast of the residential electricity consumption, refining it up to the …