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 …

Forecasting in the smart grid (SG) plays a vital role in maintaining the balance between
demand and supply of electricity, efficient energy management, better planning of energy …

Accurate electricity price forecasting has become a substantial requirement since the
liberalization of the electricity markets. Due to the challenging nature of electricity prices …

We conduct an extensive empirical study on short-term electricity price forecasting (EPF) to
address the long-standing question if the optimal model structure for EPF is univariate or …

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 …

A number of recent studies use deep belief networks (DBN) with a great success in various
applications such as image classification and speech recognition. In this paper, a DBN …

Abstract The South Australia region of the Australian National Electricity Market (NEM)
displays some of the highest levels of price volatility observed in modern electricity markets …

We examine possible accuracy gains from using factor models, quantile regression and
forecast averaging to compute interval forecasts of electricity spot prices. We extend the …

We examine possible accuracy gains from forecast averaging in the context of interval
forecasts of electricity spot prices. First, we test whether constructing empirical prediction …

In this comprehensive empirical study we critically evaluate the use of forecast averaging in
the context of electricity prices. We apply seven averaging and one selection scheme and …