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...

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...

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...

Practitioners in the electricity industry aim to assess the value of power plants or other real options several months or even years ahead of operation. Such a valuation is notably required for hedging purposes. The revenue streams to be earned in the spot market are thereby already secured on...

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...

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...

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...

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...

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...

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...