Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Demand-side response model to avoid spike of electricity price

    Access Status
    Fulltext not available
    Authors
    Marwan, M.
    Ledwich, G.
    Ghosh, Arindam
    Date
    2014
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Marwan, M. and Ledwich, G. and Ghosh, A. 2014. Demand-side response model to avoid spike of electricity price. Journal of Process Control. 24: pp. 782-789.
    Source Title
    Journal of Process Control
    DOI
    10.1016/j.jprocont.2014.01.009
    ISSN
    0959-1524
    URI
    http://hdl.handle.net/20.500.11937/16304
    Collection
    • Curtin Research Publications
    Abstract

    The aim of this work is to develop a demand-side-response model, which assists electricity consumers exposed to the market price to independently and proactively manage air-conditioning peak electricity demand. The main contribution of this research is to show how consumers can optimize the energy cost caused by the air conditioning load considering to several cases e.g. normal price, spike price, and the probability of a price spike case. This model also investigated how air-conditioning applies a precooling method when there is a substantial risk of a price spike. The results indicate the potential of the scheme to achieve financial benefits for consumers and target the best economic performance for electrical generation distribution and transmission. The model was tested with Queensland electricity market data from the Australian Energy Market Operator and Brisbane temperature data from the Bureau of Statistics regarding hot days from 2011 to 2012.

    Related items

    Showing items related by title, author, creator and subject.

    • Smart grid-demand side response model for optimization air conditioning
      Marwan, M.; Ledwich, G.; Ghosh, Arindam (2012)
      The growing demand of air-conditioning is one of the largest contributors to Australia's overall electricity consumption. This has started to create peak load supply problems for some electricity utilities particularly ...
    • Defining expected cost for the air conditioning to avoid a price spike of electricity market under DSR model
      Marwan, M.; Ledwich, G.; Ghosh, Arindam (2013)
      This work presents a demand side response model (DSR) which assists small electricity consumers, through an aggregator, exposed to the market price to proactively mitigate price and peak impact on the electrical system. ...
    • Hybrid Deep Learning Model for Accurate Short-Term Electricity Price Forecasting
      Moradzadeh, A.; Mouhammadpourfard, M.; Weng, Y.; Pol, S.; Muyeen, S M (2025)
      Accurate short-term electricity price forecasting (STEPF) is critical for efficient energy market operations, guiding investment strategies, resource allocation, and consumer behavior. This study introduces a hybrid deep ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.