A Method for Weather Station Selection Based on Wavelet Squared Coherence for Electric Load Forecasting

This article presents a new method for selection and combination of weather stations based on Wavelet Squared Coherence (WSC) that seeks to improve the performance of forecast models for the electric load. An Average Coherence Index (ACI) is obtained from WSC and used as an indicator of the relation...

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Main Authors: Carlos Boya, Jorge Ardila-Rey
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9245469/
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author Carlos Boya
Jorge Ardila-Rey
author_facet Carlos Boya
Jorge Ardila-Rey
author_sort Carlos Boya
collection DOAJ
description This article presents a new method for selection and combination of weather stations based on Wavelet Squared Coherence (WSC) that seeks to improve the performance of forecast models for the electric load. An Average Coherence Index (ACI) is obtained from WSC and used as an indicator of the relationship between the temperature of a weather station and the load of an area served by a utility. The ACI is used to categorize stations and select the best combination of stations for a forecast model. The method is validated with data from 18 load zones and 11 weather stations, offering a lower Mean Absolute Percentage Error (MAPE) than similar methods.
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spelling doaj.art-4ff1cc8aa829433ca7dbffd2f007e4fb2022-12-21T22:40:11ZengIEEEIEEE Access2169-35362020-01-01819743119743810.1109/ACCESS.2020.30350229245469A Method for Weather Station Selection Based on Wavelet Squared Coherence for Electric Load ForecastingCarlos Boya0https://orcid.org/0000-0001-8582-3580Jorge Ardila-Rey1https://orcid.org/0000-0001-8811-2274Research Directorate, Universidad Interamericana de Panamá, Panama City, PanamaDepartament of Electrical Engineering, Universidad Técnica Federico Santa María, Santiago, ChileThis article presents a new method for selection and combination of weather stations based on Wavelet Squared Coherence (WSC) that seeks to improve the performance of forecast models for the electric load. An Average Coherence Index (ACI) is obtained from WSC and used as an indicator of the relationship between the temperature of a weather station and the load of an area served by a utility. The ACI is used to categorize stations and select the best combination of stations for a forecast model. The method is validated with data from 18 load zones and 11 weather stations, offering a lower Mean Absolute Percentage Error (MAPE) than similar methods.https://ieeexplore.ieee.org/document/9245469/Electric load forecastinghierarchical load forecastingtime serieswavelet analysisweather station combinationwavelet squared coherence
spellingShingle Carlos Boya
Jorge Ardila-Rey
A Method for Weather Station Selection Based on Wavelet Squared Coherence for Electric Load Forecasting
IEEE Access
Electric load forecasting
hierarchical load forecasting
time series
wavelet analysis
weather station combination
wavelet squared coherence
title A Method for Weather Station Selection Based on Wavelet Squared Coherence for Electric Load Forecasting
title_full A Method for Weather Station Selection Based on Wavelet Squared Coherence for Electric Load Forecasting
title_fullStr A Method for Weather Station Selection Based on Wavelet Squared Coherence for Electric Load Forecasting
title_full_unstemmed A Method for Weather Station Selection Based on Wavelet Squared Coherence for Electric Load Forecasting
title_short A Method for Weather Station Selection Based on Wavelet Squared Coherence for Electric Load Forecasting
title_sort method for weather station selection based on wavelet squared coherence for electric load forecasting
topic Electric load forecasting
hierarchical load forecasting
time series
wavelet analysis
weather station combination
wavelet squared coherence
url https://ieeexplore.ieee.org/document/9245469/
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