With the increasing share of volatile renewable energies, weather prediction becomes more important to electricity markets. The weather-driven uncertainty of renewable forecast errors could have price increasing impacts. This research sets up an analytic model to show that the day-ahead optimal...

System security in electricity markets relies crucially on the interaction between demand and supply over time. However, research on electricity markets has been mainly focusing on the supply side arguing that demand is rather inelastic. Assuming perfectly inelastic demand might lead to delusive...

Using Toda-Yamamoto Granger causality approach, we study causality between energy consumption (EC) and economic growth (GDP) in Pakistan for the period 1972-2015. The study extended the basic production function having labor and capital as the mainstream variables by adding major energy sources...

Simulation models of emissions trading performance are generally based on the assumption that carbon prices are fully (or almost fully) passed through to energy prices (with pass-through rates equal or very close to one). Unfortunately, empirical analyses of wholesale electricity spot markets do...

This paper analyzes the dynamic behavior of day-ahead spot prices in the German electricity spot market due to positive structural shocks in wind and solar power. It uses a dynamic structural vector autoregressive model to estimate the related structural impulse response functions. The estimates...

We document how imperfect information generates heterogeneous effects in information treatments with personalized high-frequency feedback and peer comparisons. In our field experiment in retail electricity, we find that high and low energy users symmetrically underestimate and overestimate their...

This paper develops a model framework and a corresponding empirical inference procedure for estimating long-run marginal cost in industries where production costs decline over time. In the context of the solar photovoltaic module industry, we rely on firm-level financial accounting data to...