A variety of methods and ideas have been tried for electricity price forecasting (EPF) over the
last 15 years, with varying degrees of success. This review article aims to explain the …

A suitable combination of linear and nonlinear models provides a more accurate prediction
model than an individual linear or nonlinear model for forecasting time series data …

Electricity consumption data is regarded as nonlinear, non-stationary series, and is often
made up by a superposition of several distinct frequencies. Thus most of the conventional …

Accurate wind power prediction can alleviate the negative influence on power system
caused by the integration of wind farms into grid. In this paper, a novel combination model is …

Time series modeling and forecasting is an essential and hard task in financial engineering
and optimization. Various models have been proposed in the literature and tested on daily …

In smart grids, customers are promoted to change their energy consumption patterns by
electricity prices. In fact, in this environment, the electricity price and load consumption are …

The unexpected pandemic eruption in March 2020, the European efforts to diminish the gas
house emissions, prolonged drought, higher inflation and the war in Ukraine clearly have …

Load and price forecasting are two key issues for market participants and system operators
in electricity markets. Most existing works predict load and price separately. However, a …

The logic of identifying the stationary features of energy series lays in the policy potentials
contained within unit root-related information. By providing an overview of unit root testing …

With the restructuring of the electricity sector in recent years, and the increased variability
and uncertainty associated with electricity market prices, it has become necessary to …