Picture of smart phone in human hand

World leading smartphone and mobile technology research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers from the Department of Computer & Information Sciences involved in researching exciting new applications for mobile and smartphone technology. But the transformative application of mobile technologies is also the focus of research within disciplines as diverse as Electronic & Electrical Engineering, Marketing, Human Resource Management and Biomedical Enginering, among others.

Explore Strathclyde's Open Access research on smartphone technology now...

Participation of customers in active demand side participation programs under different pricing schemes

Xu, Han and Kockar, Ivana (2015) Participation of customers in active demand side participation programs under different pricing schemes. In: IEEE PES General Meeting 2015, 2015-07-26 - 2015-07-30.

[img]
Preview
Text (Xu-Kockar-IEEE-PES-2015-Participation-of-customers-in-active-demand-side-participation)
Xu_Kockar_IEEE_PES_2015_Participation_of_customers_in_active_demand_side_participation.pdf - Accepted Author Manuscript

Download (660kB) | Preview

Abstract

The energy power gird is evolving in order to cope with the implementation of new technologies and penetration of renewable resource. These changes are associated with a shift towards more flexible network operation. A particular emphasis is an expectation that this operational flexibility will be coming from the demand side. This research outlines an approach that enables consumers take part in Active Demand Participation program and help them decide how to schedule various appliances within the household. A scheduling tool that enables participating customers to automatically respond to the inflow price signals that may vary during a day is presented. Here, two inflow price signals are considered so to analyze individual household behaviours: i) predefined Time of Use pricing; ii) forecasted Real-Time Pricing (RTP) scenarios.