Advances in IT, control and forecasting capabilities have made demand response a viable, and potentially attractive, option to increase power system flexibility. This paper presents a critical review of the literature in the field of demand response, providing an overview of the benefits and...

A doubly censored Tobit model is used to forecast hourly air-conditioner usage for individual households. The model worked well over a wide range of temperatures, 9–38°C, making it possible to accurately forecast the electricity load for a variety of demand response applications including...

Within the field of Distributed Generation (DG), stand-alone Hybrid Power Systems (HPS) are a suitable solution to provide energy to isolated facilities where the connection to a centralized grid is not affordable. The logical evolution of such systems involves the optimization of power...

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...

We analyze the gross welfare gains from real-time retail pricing in electricity markets where carbon taxation induces investment in variable renewable technologies. Applying a stylized numerical electricity market model, we find a U-shaped association between carbon taxation and gross welfare...

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...

This paper explores demand side management (DSM) strategies, including both demand response and energy efficiency policies. The aim is to uncover what features might strengthen DSM effectiveness. We first look at key features of residential energy demand and the limits to energy indicators. We...