MURAL - Maynooth University Research Archive Library

    Self-organising algorithms for residential demand response

    Taylor, Adam and Dusparic, Ivana and Harris, Colin and Marinescu, Andrei and Galvan, Edgar and Golpayegani, Fatemeh and Clarke, Siobhan and Cahill, Vinny (2014) Self-organising algorithms for residential demand response. 2014 IEEE Conference on Technologies for Sustainability (SusTech). pp. 55-60.

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    Residential Demand Response has shown promising results in smart grid applications. It can be achieved manually or autonomously. The variety of algorithms applied to achieve autonomous Demand Response have lacked a common baseline. The selection of testing environment is typically skewed by the desire to find one in which a particular algorithm performs well. This work evaluates several algorithms in a common evaluation environment. Which has been designed to encompass the range of conditions in a typical Residential Demand Response application. The environments described exhibit the following characteristics: non-stationary, dynamic, multi-actor, multi-objective. These characteristics will then be used to provide heuristics for algorithm selection. The algorithms used were selected to cover the spectrum of possible approaches to Demand Response. Some are centralised, others distributed. There are collaborative approaches and non-collaborative ones. Some are learning based, others require no training. This work provides criteria for which particular algorithms should be applied to a given application.

    Item Type: Article
    Keywords: Load management; Water heating; Algorithm design and analysis; Prediction algorithms; Heuristic algorithms; Collaboration; Schedules;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 15367
    Identification Number:
    Depositing User: Edgar Galvan
    Date Deposited: 31 Jan 2022 15:44
    Journal or Publication Title: 2014 IEEE Conference on Technologies for Sustainability (SusTech)
    Publisher: IEEE
    Refereed: Yes
    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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