The main purpose of this study is to investigate, by using regressions analysis, the DR effect on households' electricity consumption. We employ three kinds of estimation models: a pooled OLS model, a random effect model, and a fixed effect model. Major results are as follows. First, the DR...

adoption of “Smart Energy Behaviour”. Within this term we include different levels of: i) shift in electricity consumption towards less costly-less polluting and congestioning hours; ii) the reduction of mainly wasteful electricity consumption, that maintains similar levels of comfort; iii)...

This paper develops a model for Demand Response (DR) by utilizing consumer behavior modeling considering different scenarios and levels of consumer rationality. Consumer behavior modeling has been done by developing extensive demand-price elasticity matrices for different types of consumers....

The high penetration of both Distributed Energy Resources (DER) and Demand Response (DR) in modern power systems requires a sequence of advanced strategies and technologies for maintaining system reliability and flexibility. Real-time electricity markets (RTM) are the non-discriminatory...

Smart Grid (SG) technologies may bring substantial advantages to society, but the required investments are also sizable. This paper establishes a framework for examining the issues related to the SG, and highlights some of the difficulties in establishing a mechanism for paying SG costs. In...

This article aims at analysing the potential of consumer empowerment and engagement in the electric power system, focusing on the case of Italy. Firstly, we build a System Dynamics model to evaluate the potential dynamics of consumer adoption of ‘Smart Energy Behaviours’, including within...

Demand response is a cornerstone problem in electricity markets under climate change constraint. Most liberalized electricity markets have a poor track record at encouraging the deployment of smart meters and the development of demand response. In Europe, different models are considered for...

We build a system dynamics model to evaluate the potential dynamics of consumer adoption of Smart Energy Behaviour. Within this term we include different levels of: i) shift in electricity consumption towards less costly-less polluting and congestioning hours; ii) the reduction of mainly...

This thesis identifies the conditions under which and quantifies how much society gains from integrating demand response directly into wholesale electricity markets and the level of participation that will bring about these improvements. Furthermore, it identifies the conditions under which the...