A rapidly growing body of research applies panel methods to examine how temperature,
precipitation, and windstorms influence economic outcomes. These studies focus on …

This paper reviews the literature on the relationship between climate and the energy sector.
In particular, we primarily discuss empirical papers published in peer-reviewed economics …

Residential load forecasting is a challenging problem due to complex relations among the
hourly electrical load values along the time and also nonlinear relationships among the …

With the rollout of smart metering infrastructure at scale, demand-response (DR) programs
may now be tailored based on users' consumption patterns as mined from sensed data. For …

One of the most controversial issues in the mid-term load forecasting literature is the
treatment of weather. Because of the difficulty in obtaining precise weather forecasts for a …

How does commodity price volatility affect the welfare of rural households in developing
countries, for whom hedging and consumption smoothing are often difficult? When …

This paper investigates the relationship between electricity demand and temperature in the
European Union. We address this issue by means of a panel threshold regression model on …

This paper presents an empirical analysis on residential demand for electricity. This analysis
has been performed using aggregate panel data at the province level for 47 Spanish …

In this work, a strategy for automatic lag selection in time series analysis is proposed. The
method extends the ideas of feature selection with support vector regression, a powerful …

Abstract The European Union Emissions Trading Scheme (EU ETS), operating since
January 2005, demonstrates that it is possible to create a market for carbon dioxide (CO 2) …