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...

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...

Concerns about climate change have spurred governments to reduce carbon emissions by supporting adoption of renewable energy (RE) technologies. Due to the intermittent and location-specific nature of RE technologies, energy storage has become important because it could be used to smooth out...

Chapter 1. A Lanchester-Type Dynamic Game of Advertising and Pricing -- Chapter 2. On the Modelling of Price Effects in the Diffusion of Optional Contingent Products -- Chapter 3. The effects of consumer rebates in a competitive distribution channel -- Chapter 4. On the coordination of static...