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

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

Energy, 1997, vol. 22, issue 6, 579-589

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.

Date: 1997
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:22:y:1997:i:6:p:579-589

DOI: 10.1016/S0360-5442(96)00163-6

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