A Simple Hybrid Model for Short-Term Load Forecasting

The paper proposes a simple hybrid model to forecast the electrical load data based on the wavelet transform technique and double exponential smoothing. The historical noisy load series data is decomposed into deterministic and fluctuation components using suitable wavelet coefficient thresholds and...

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Main Authors: Suseelatha Annamareddi, Sudheer Gopinathan, Bharathi Dora
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Engineering
Online Access:http://dx.doi.org/10.1155/2013/760860
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author Suseelatha Annamareddi
Sudheer Gopinathan
Bharathi Dora
author_facet Suseelatha Annamareddi
Sudheer Gopinathan
Bharathi Dora
author_sort Suseelatha Annamareddi
collection DOAJ
description The paper proposes a simple hybrid model to forecast the electrical load data based on the wavelet transform technique and double exponential smoothing. The historical noisy load series data is decomposed into deterministic and fluctuation components using suitable wavelet coefficient thresholds and wavelet reconstruction method. The variation characteristics of the resulting series are analyzed to arrive at reasonable thresholds that yield good denoising results. The constitutive series are then forecasted using appropriate exponential adaptive smoothing models. A case study performed on California energy market data demonstrates that the proposed method can offer high forecasting precision for very short-term forecasts, considering a time horizon of two weeks.
format Article
id doaj-art-03d8d514a4874b9fa67ce2493a816d34
institution Kabale University
issn 2314-4904
2314-4912
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Journal of Engineering
spelling doaj-art-03d8d514a4874b9fa67ce2493a816d342025-02-03T06:44:28ZengWileyJournal of Engineering2314-49042314-49122013-01-01201310.1155/2013/760860760860A Simple Hybrid Model for Short-Term Load ForecastingSuseelatha Annamareddi0Sudheer Gopinathan1Bharathi Dora2Mathematics Department, GVP College of Engineering for Women, Visakhapatnam 530048, IndiaMathematics Department, GVP College of Engineering for Women, Visakhapatnam 530048, IndiaEngineering Mathematics Department, A.U College of Engineering, Visakhapatnam 530003, IndiaThe paper proposes a simple hybrid model to forecast the electrical load data based on the wavelet transform technique and double exponential smoothing. The historical noisy load series data is decomposed into deterministic and fluctuation components using suitable wavelet coefficient thresholds and wavelet reconstruction method. The variation characteristics of the resulting series are analyzed to arrive at reasonable thresholds that yield good denoising results. The constitutive series are then forecasted using appropriate exponential adaptive smoothing models. A case study performed on California energy market data demonstrates that the proposed method can offer high forecasting precision for very short-term forecasts, considering a time horizon of two weeks.http://dx.doi.org/10.1155/2013/760860
spellingShingle Suseelatha Annamareddi
Sudheer Gopinathan
Bharathi Dora
A Simple Hybrid Model for Short-Term Load Forecasting
Journal of Engineering
title A Simple Hybrid Model for Short-Term Load Forecasting
title_full A Simple Hybrid Model for Short-Term Load Forecasting
title_fullStr A Simple Hybrid Model for Short-Term Load Forecasting
title_full_unstemmed A Simple Hybrid Model for Short-Term Load Forecasting
title_short A Simple Hybrid Model for Short-Term Load Forecasting
title_sort simple hybrid model for short term load forecasting
url http://dx.doi.org/10.1155/2013/760860
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