Electricity price forecasting is a challenging task for decision-makers in deregulated power markets due to the inherent characteristics of electricity prices, e.g., high frequency and volatility. Accordingly, we propose a novel hybrid Deep Learning model to forecast one-step, two-step, and...

Electricity markets vary greatly across jurisdictions, in terms of regulatory institutions, cost levels and environmental impacts. Integrating such different markets can lead to significant changes. This paper considers two jurisdictions, one with a regulated monopoly selling at average cost and...

The electricity sector is the largest source of greenhouse gases (GHG) emissions in the world, and reducing these emissions can often be costly. However, because electricity markets remain integrated at a shallow level (with different pricing regulations), many gains from deeper integration...

Several interconnected power systems worldwide have largely thermal and hydro production along with carbon cap-and-trade (C&T) systems and variable renewable energy sources (VRES). C&T policies increase VRES generation, and socially optimal storage deployment could integrate VRES output....

Subsidies induce a market inefficiency by creating a deadweight loss, since supply and demand are out of equilibrium. In 2016, electricity subsidies were the largest component of the total global energy subsides, with an estimated 128 billion USD out of 287 billion USD. Electricity generation is...