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...

This paper examines the usefulness of crowdsourced relative to professional forecasts for natural gas storage changes. We find that crowdsourced forecasts are less accurate than professional forecasts on average. We investigate possible reasons for this inferior performance and find evidence of...

Increasingly volatile and distributed energy production challenge traditional mechanisms to manage grid loads and price energy. Local energy markets (LEMs) may be a response to those challenges as they can balance energy production and consumption locally and may lower energy costs for...

We analyse the importance of macroeconomic information, such as industrial production index and oil price, for forecasting daily electricity prices in two of the main European markets, Germany and Italy. We do that by means of mixed-frequency models, introducing a Bayesian approach to reverse...

Problem: How to help practitioners, academics, and decision makers use experimental research findings to substantially reduce forecast errors for all types of forecasting problems. Methods: Findings from our review of forecasting experiments were used to identify methods and principles that lead...

This paper sheds light on the questions whether it is possible to generate an accurate forecast of the real price of oil and how it can be improved using forecast combinations. For this reason, my work will investigate the out-of-sample performance of thirteen individual forecasting models. The...

In this paper we analyse rig rate formation of floaters operating on the Norwegian Continental Shelf. We first develop a simple bargaining model for rig markets. Then we examine empirically the most important drivers for rig rate formation in the period 1991q4 to 2013q4. We use reduced form time...

In more deregulated markets such as the UK, demand forecasting is vital for the electric industry as it is used to set electricity generation and purchasing, establishing electricity prices, load switching and demand response. In this paper we produce improved short-term forecasts of the demand...

Electricity price forecasting has become a crucial element for both private and public decision-making. This importance has been growing since the wave of deregulation and liberalization of energy sector worldwide late 1990s. Given these facts, this paper tries to come up with a precise and...