In this paper, we seek to investigate heterogeneity in households' valuation of electricity contract attributes that reflect demand-side flexibility in the Swedish residential sector. Using stated preference data generated from a choice experiment, we estimate a mixed logit model in...

To overcome the inherent clash between the ever-increasing push for electrification in the transportation and heating sectors, and the intermittent nature of renewable energy sources, demand response solutions such as direct load control (DLC) tariffs are receiving growing attention from...

Italian Abstract: In questo lavoro si calcola la domanda di riscaldamento a livello di singola famiglia, integrando i dati sui consumi energetici necessari per riscaldare alcune tipologie di edifici con le informazioni disponibili nell'Indagine sulle spese delle famiglie dell'Istat. Questa nuova...

In this paper, we explore subsistence levels and price elasticities for residential electricity demand in Sweden. Using a Stone-Geary functional form and unique Swedish data on residential electricity usage, we estimate demand Equations for peak and off-peak demand. We find that the subsistence...

The future evolution of energy demand in cities has a major influence on energy market size, pricing, competition level, consumer relations, overall CO2 emissions, and supply security. This paper presents a bounded rational decision model which can be used to estimate this evolution. It starts...

Understanding consumer behaviours is important in designing dynamic tariffs, which are usually considered the first-best solution when the conventional flat tariff does not reflect the varying cost of electricity generation. I find peak prices (17:00-20:00) reduce peak and post-peak consumption...

The prevalence of energy poverty as a major challenge in numerous countries, the escalating energy crisis that generates supply fears and increased prices, and the need to build just supporting mechanisms within the net zero energy transition add impetus to improving our ability to accurately...