Air temperature, type of the day and humidity are factors that have significant impact on
electricity consumption and power system load on a short term. In the paper, neural …

Load forecasting is an important tool for the operation of power systems. Quality planning of
energy consumption leads to lower costs for energy retail companies. In this paper to …

Load forecast performs a vital function in scheduling and operation in power system which
makes grid smarter. The superiority of forecast of the short-term load has a major influence …

This paper introduces the application of an Artificial Neural Network to perform the power
generation & demand forecasting of a regional electricity network. The main technical …

The prediction of short-term electricity consumption is of vital importance for designing and
management of energy production and storage systems. Forecasting the next 24 h of …

Power grids around the world are experiencing a major shift from non-renewable sources of
energy to renewable fuels. However, due to the nature of renewable sources of energy like …

Nowadays, electricity is one of the most basic needs of human societies, such that almost all
industrial operations and a large part of social, economic, and agricultural activities rely on …

In recent years, by entering the competition arena, not only providing the needed electricity
demand, but also reducing the cost of purchased electricity has been one of the biggest …

In this work, a hybrid model based on K-Means Clustering and Artificial Neural Networks is
proposed to predict the Republics of Benin and Togo electricity consumption supplied by the …

Presently, electrical energy consumption continues to increase from year to year. Therefore,
a short-term load forecasting is required that electricity providers can deliver continuous …