Crude oil price forecasting has attracted much attention due to its significance on
commodities market as well as nonlinear complexity in prediction task. Combining forecasts …

Short-term load forecasting (STLF) is important for the operational security and economics of
power system. However, most of the STLF methods lack an efficient feature selection …

The rapid development of the Internet of Things and device-level meters provides accurate
energy consumption data for various household devices, and making full use of these data …

Accurate wind forecasting is valuable for a number of stake holders including farm, system
and microgrid operators. The variability and non-linearity of the wind speed/power signal …

Forecasting of electricity prices using multiple features of explanatory variables can become
a challenging task which may affect the forecast accuracy or understandability of models …

The main purpose of the paper is to perform an analysis of a large dataset on the price of
electricity in the smart grid and secondly on load which is hard to handle with the traditional …

Electricity market: Analysis and prediction of volatility Abstract Vladimír Kunc July 30, 2015
The last two decades can be characterized by restructuring of energy industry and the …

In the adaptive short-term electricity price forecasting, it may be premature to rely solely on
the hourly price forecast. The volatility of electricity price should also be analysed to provide …