In this study, we demonstrate the contribution of IS-supported demand response (DR) programs to the development of a sustainable transport sector. Based on the energy informatics framework, we develop an IS artifact that can be used to apply DR programs for electric vehicle (EV) fleets. Furthermore, we quantify one DR program in economic terms by analyzing data gathered in an electric mobility ...

Demand Response (DR) is a program designed to match supply and demand by modifying consumption profile. Some of these programs are based on economic incentives, in which, a user is paid to reduce his energy requirements according to an estimated baseline. Literature review and practice have shown that the counter-factual models of employing baselines are vulnerable for gaming. Classical solutio...

Deployment of Advanced Metering Infrastructures (AMIs) brings numerous new privacy concerns. The governments and standard organizations are responding to these concerns by developing guidelines and policies for AMIs. In USA, the June 2011 smart grid policy framework report examines privacy issues [11]. In accordance with the Federal Fair Information Practice (FIP) principles, the report recomme...

In this work we evaluate the inefficiency in the sense of Pareto of the electricity system and its similarity to the tragedy of the commons. Also, we propose an incentives scheme that promotes optimal outcomes in the inefficient electricity market. The economic incentive might be seen as an indirect revelation mechanism that uses a one dimensional message space, and it is valid for any concave ...

We study a demand response problem from operator’s perspective with realistic settings, in which the operator faces uncertainty and limited communication. Specifically, the operator does not know the cost function of consumers and cannot have multiple rounds of information exchange with consumers. We formulate an optimization problem for the operator to minimize its operational cost considering...

Demand Response (DR) has recently garnered great attention, with many DR programs being deployed and evaluated worldwide. They are hailed as a significant benefit enabled by the Smart Grid and an efficient method to engage consumers in managing their energy usage and reduce environmental impact and costs. But while the opportunities are great, challenges still remain to exploit the untapped pot...

OBJECTIVE to analyze the impact of Pharmacy Intervention (PI), within the healthcare team who manages elderly multi-pathological patients, regarding the evolution of Drug Related Problems (DRPs) and Negative Outcomes Associated with Medication (NOMs). To estimate the prevalence of DRPs, NOMs, and Potentially Inappropriate Prescriptions (PIPs), and the drugs involved, considering the characteris...

Management of drug therapy in nursing home patients is challenging due to complex health problems, use of multiple medications, and age-related changes in pharmacokinetics and pharmacodynamics. The objective of this study was, first, to examine the effect of systematic medication reviews conducted by multidisciplinary nursing home teams on prescribing quality and, second, to evaluate if drug th...

Genome integrity is constantly threatened by endogenous and exogenous factors. However, its preservation is ensured by a network of pathways that prevent and/or repair the lesion, which constitute the DNA damage response (DDR). Expression of the key proteins involved in the DDR is controlled by numerous post-transcriptional mechanisms, among which pre-mRNA splicing stands out. Intriguingly, sev...

This paper proposes an advanced distribution automation planning problem in which emergency-based demand response plans are incorporated during service restoration process. The fitness function of this planning problem consists of various costs associated with fault occurrence in electric distribution systems consisting of the total yearly cost of customers’ interruptions, the total annualized ...