Galvan, Edgar and Harris, Colin and Dusparic, Ivana and Clarke, Siobhan and Cahill, Vinny (2012) Reducing electricity costs in a dynamic pricing environment. IEEE International Conference on Smart Grid Communications (SmartGridComm). pp. 169-174.

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Abstract

Smart Grid technologies are becoming increasingly dynamic, so the use of computational intelligence is becoming more and more common to support the grid to automatically and intelligently respond to certain requests (e.g., reducing electricity costs giving a pricing history). In this work, we propose the use of a particular computational intelligence approach, denominated Distributed W-Learning, that aims to reduce electricity costs in a dynamic environment (e.g., changing prices over a period of time) by turning electric devices on (i.e., clothes dryer, electric vehicle) at residential level, at times when the electricity price is the lowest, while also, balancing the use of energy by avoiding turning on the devices at the same time. We make this problem as realistic as possible, by considering the use of real-world constraints (e.g., time to complete a task, boundary times within which a device can be used). Our results clearly indicate that the use of computational intelligence can be beneficial in this type of dynamic and complex problems.

Item Type:	Article
Keywords:	Reducing; electricity costs; dynamic; pricing environment;
Academic Unit:	Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	15378
Identification Number:	https://doi.org/10.1109/SmartGridComm.2012.6485978
Depositing User:	Edgar Galvan
Date Deposited:	31 Jan 2022 17:02
Journal or Publication Title:	IEEE International Conference on Smart Grid Communications (SmartGridComm)
Publisher:	IEEE
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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