EDSSF: A decision support system (DSS) for electricity peak-load forecasting

Masood A. Badri, Ahmed Al-Mutawa, Donald Davis, Donna Davis

    Research output: Contribution to journalArticlepeer-review

    10 Citations (Scopus)

    Abstract

    Electricity authorities in the UAE have not been successful in developing reliable and accurate models of system peak load. In this study, we develop a time-series-based decision-support system that integrates data management, model base management, simulation, graphic display, and statistical analysis to provide near-optimal forecasting models. The model base includes a variety of time-series techniques, such as exponential smoothing, Box-Jenkins (BJ), and dynamic regression. The system produces short-term forecasts (one year ahead) by analyzing the behavior of monthly peak loads. The performance of the DSS is validated through a comparison with results suggested by econometricians.

    Original languageEnglish
    Pages (from-to)579-589
    Number of pages11
    JournalEnergy
    Volume22
    Issue number6
    DOIs
    Publication statusPublished - Jun 1997

    ASJC Scopus subject areas

    • Civil and Structural Engineering
    • Building and Construction
    • Modelling and Simulation
    • Renewable Energy, Sustainability and the Environment
    • Fuel Technology
    • Energy Engineering and Power Technology
    • Pollution
    • Energy(all)
    • Mechanical Engineering
    • Industrial and Manufacturing Engineering
    • Management, Monitoring, Policy and Law
    • Electrical and Electronic Engineering

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