کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
997747 1481467 2008 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modeling and forecasting short-term electricity load: A comparison of methods with an application to Brazilian data
موضوعات مرتبط
علوم انسانی و اجتماعی مدیریت، کسب و کار و حسابداری کسب و کار و مدیریت بین المللی
پیش نمایش صفحه اول مقاله
Modeling and forecasting short-term electricity load: A comparison of methods with an application to Brazilian data
چکیده انگلیسی

The goal of this paper is to describe a forecasting model for the hourly electricity load in the area covered by an electric utility located in the southeast of Brazil. A different model is constructed for each hour of the day. Each model is based on a decomposition of the daily series of each hour in two components. The first component is purely deterministic and is related to trends, seasonality, and the special days effect. The second is stochastic, and follows a linear autoregressive model. Nonlinear alternatives are also considered in the second step. The multi-step forecasting performance of the proposed methodology is compared with that of a benchmark model, and the results indicate that our proposal is useful for electricity load forecasting in tropical environments.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Forecasting - Volume 24, Issue 4, October–December 2008, Pages 630–644
نویسندگان
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