Medium-term electricity consumption and load forecasting in smart grids is an attractive topic
of study, especially using innovative data analysis approaches for future energy …

Electrical load forecasting provides knowledge about future consumption and generation of
electricity. There is a high level of fluctuation behavior between energy generation and …

Accurate electric load forecasting is important due to its application in the decision making
and operation of the power grid. However, the electric load profile is a complex signal due to …

Short-Term Electricity Load Forecasting (STELF) through Data Analytics (DA) is an emerging
and active research area. Forecasting about electricity load and price provides future trends …

Nowadays, electric load forecasting through a data analytic approach has become one of
the most active and emerging research areas. It provides future consumption patterns of …

With the rapid increase in the world's population, the global electricity demand has
increased drastically. Therefore, it is required to adopt efficient energy management …

Electrical load forecasting is a challenging problem due to random and non-linear behavior
of the consumers. With the emergence of the smart grid (SG) and advanced metering …

A smart grid is the future vision of power systems that will be enabled by artificial intelligence
(AI), big data, and the Internet of things (IoT), where digitalization is at the core of the energy …

In this paper, we introduced a new enhanced technique, to resolve the issue of electricity
price and load forecasting. In Smart Grids (SGs) Price and load forecasting is the major …

Load forecasting plays an essential role in effective energy planning and distribution in a
smart grid. However, due to the unpredictable and non-linear structure of smart grids and …