The smart grid concept is introduced to accelerate the operational efficiency and enhance
the reliability and sustainability of power supply by operating in self-control mode to find and …

In this paper, a comprehensive review is presented for mid-term load forecasting. The basic
loads and effective factors are studied, and then several classifications are presented for …

This paper offers a novel method of power system load forecasting (PSLF) for regional
special event days (RSEDs) when the load demand is highly prejudiced by societal …

The accuracy and risk of electricity load forecasting are the most critical features, which play
a significant role in efficient management, future economic planning, and decision making …

The development of smart grids has enabled a wide variety of generation units to be
included in the grid, which has made it necessary to predict the load demand to manage the …

Accurate and efficient ultra-short-term load forecasting is crucial for industrial power users to
have stabilized and optimized operations. In this paper, we develop novel strategies for …

Electrical energy has become a fundamental need for society to achieve economic and
technical efficiency. To meet the demand for electrical energy, the thing that is done is …

Combination of long short-term memory (LSTM) network with support vector regression
(SVR) is proposed for short-term electrical load forecasting in this paper. Three different …

Purpose This study aims to short-therm forecasting of power generation output for this
purpose, an adaptive neuro-fuzzy inference system (ANFIS) is designed to forecast the …

A new energy management system (EMS) is presented for small scale microgrids (MGs).
The proposed EMS focuses on minimizing the daily cost of the energy drawn by the MG from …