Forecasting hourly electricity prices and their characteristic properties is a core challenge for energy generation companies and trading houses. The short-term marketing and purchase of electricity is usually managed with standardized products traded on different markets and with specific...

Forecasting hourly electricity prices and their characteristic properties is a core challenge for energy generation companies and trading houses. The short-term marketing and purchase of electricity is usually managed with standardized products traded on different markets and with specific...

We present a stochastic modelling approach to describe the dynamics of hourly electricity prices. The suggested methodology is a stepwise combination of several mathematical operations to adequately characterize the distribution of electricity spot prices. The basic idea is to analyze day-ahead...

We present a stochastic modelling approach to describe the dynamics of hourly electricity prices. The suggested methodology is a stepwise combination of several mathematical operations to adequately characterize the distribution of electricity spot prices. The basic idea is to analyze day-ahead...

In this paper we present an evaluation framework for predictions of binary events in probabilistic electricity price forecasting. It employs the MSE-equivalent QPS together with the DM test and allows for further insights about deficiencies of the considered models. Additionally, techniques from...

In this paper we present an evaluation framework for predictions of binary events in probabilistic electricity price forecasting. It employs the MSE-equivalent QPS together with the DM test and allows for further insights about deficiencies of the considered models. Additionally, techniques from...

With the on-going expansion of renewable energy generation, short-term trading, notably in intraday markets, becomes increasingly relevant to cope with forecast updates for renewable infeed's. In this context, we develop a multivariate model of wind forecasting trajectories in order to support...

Accurate forecasting of solar PV generation is critical for integrating renewable energy into power systems. This paper presents a multivariate probabilistic forecasting model that addresses the challenges posed by imbalanced data resulting from day and night-time periods in solar photovoltaic...

Uncertainty is almost ubiquitous in energy related decision making. It has many sources, multiple facets and numerous implications. From the uncertainties surrounding Global Warming over the incertitude of future technological progress to the volatility of fuel and other energy prices, the...

Residential heat pumps are one of the most resource-efficient means for space heating. Their market shares are prospected to rise substantially within the next decades. By installing a thermal energy storage, the operation of heat pumps is - to a certain extent - decoupled from heat demand. Such...