MURAL - Maynooth University Research Archive Library



    Forecasting Electricity Load and Prices in an Algerian Deregulated Market


    Khadir, Mohamed Tarek, Fay, Damien, Ringwood, John and Boughrira, Ahmed (2005) Forecasting Electricity Load and Prices in an Algerian Deregulated Market. In: Proc. 1ere Conférence Internationale sur le Transport de l'Electricité en Algerie, September 17-18 2005, Algiers.

    [thumbnail of JR_C105AlgE.pdf] PDF
    JR_C105AlgE.pdf

    Download (288kB)

    Abstract

    In a competitive electricity market environment, power producers and consumers need, on one hand, accurate load and/or electricity consumption forecasting tools. These tools will ensure an a-priori knowledge on the amount of energy needed for production. On the other hand, forecasting electricity prices, may play a very important role for producers and consumers when planning bidding strategies, in order to maximize their benefits and utilities, respectively. This paper will address both issues in a newly deregulated Algerian Market, with an analysis of the electricity national demand. An example of electricity demand model will be presented, as well as an attempt to introduce price modelling taking into account that there is only one electricity supplier on the market. Possibilities of price forecasting in a deregulated market may be projected
    Item Type: Conference or Workshop Item (Paper)
    Keywords: Forecasting; electricity Load; electricity price; linear/nonlinear models; time series;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 2136
    Depositing User: Professor John Ringwood
    Date Deposited: 28 Sep 2010 15:33
    Refereed: Yes
    URI: https://mural.maynoothuniversity.ie/id/eprint/2136
    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

    Repository Staff Only (login required)

    Item control page
    Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads