Demand‐side energy management increases the unpredictability and ambiguity of
forecasting the load profiles of residential energy management. The energy management …

In modern power systems, centralised short term load forecasting (STLF) methods raise
concern on high communication requirements and reliability when a central controller …

Cascading overload failures occurred in power systems due to higher penetration of
renewable energy resources (RERs), which causes uncertainty in a grid. To overcome these …

Electricity demand forecasting remains a challenging issue for power system scheduling at
varying stages of energy sectors. Short Term load forecasting (STLF) plays a vital part in …

In this paper, a new active dynamic lightning protection method is proposed based on the
large data characteristics of electric power. This method mainly includes two parts: Part one …

Power load forecasting is of great significance to ensure the smooth operation of smart grid.
Because the load generation and consumption are related to the grid internal and …

This paper proposes a load forecasting method based on LSTM model, fully explores the
regularity of historical load data of industrial park enterprises, inputs the data features into …

The aim of this research is to highlight the issues of building the models of control for
automotion of the control process and, in particular, by using the artificial intelligence. The …