A Hybrid Approach to Short-Term Load Forecasting Aimed at Bad Data Detection in Secondary Substation Monitoring Equipment

A Hybrid Approach to Short-Term Load Forecasting Aimed at Bad Data Detection in Secondary Substation Monitoring Equipment

Bad data as a result of measurement errors in secondary substation (SS) monitoring equipment is difficult to detect and negatively affects power system state estimation performance by both increasing the computational burden and jeopardizing the state estimation accuracy. In this paper a short-term...

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Bibliographic Details
Main Authors: Pedro Martín, Guillermo Moreno, Francisco Javier Rodríguez, José Antonio Jiménez, Ignacio Fernández
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Sensors
Subjects:
measurement errors
singular spectrum analysis (SSA)
artificial neural networks (ANN)
bad data (BD) detection
Online Access:https://www.mdpi.com/1424-8220/18/11/3947

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https://www.mdpi.com/1424-8220/18/11/3947

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