1997Power Engineering JournalRequires access

Principles of electricity demand forecasting. Part 2: Applications

Syed Islam, S.M. Al-Alawi

Open publisher page 31 citations

Abstract

In part I (see ibid., vol.10, no.3, p.139-43, 1996) of this two-part article, the importance of electricity demand forecasting, factors influencing the various ranges of demand forecasting, and their correlation and contribution to demand were discussed. Various models which can be used to identify the demand pattern and underlying growth to predict future demand were presented. A step-by-step method of building a forecasting model was also provided. In this concluding tutorial, the techniques discussed earlier are applied to generate load and energy forecasts for a rapidly growing utility for both the short and medium term.

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What this paper is about

In part I (see ibid., vol.10, no.3, p.139-43, 1996) of this two-part article, the importance of electricity demand forecasting, factors influencing the various ranges of demand forecasting, and their correlation and contribution to demand were discussed. Various models which can be used to identify the demand pattern and underlying growth to predict future demand were presented. A step-by-step method of building a forecasting model was also provided. In this concluding tutorial, the techniques discussed earlier are applied to generate load and energy forecasts for a rapidly growing utility for both the short and medium term.

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OpenAlex reports 31 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In part I (see ibid., vol.10, no.3, p.139-43, 1996) of this two-part article, the importance of electricity demand forecasting, factors influencing the various ranges of demand forecasting, and their correlation and contribution to demand were discussed. Various models which can be used to identify the demand pattern and underlying growth to predict future demand were presented. A step-by-step method of building a forecasting model was also provided. In this concluding tutorial, the techniques discussed earlier are applied to generate load and energy forecasts for a rapidly growing utility for both the short and medium term.

Key concepts: Demand forecasting, Electricity demand, Energy demand, Electricity, Demand patterns, Demand response, Computer science, Power demand

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