Forecasting-Aided Monitoring for the Distribution System State Estimation
In this paper, an innovative approach based on an artificial neural network (ANN) load forecasting model to improve the distribution system state estimation accuracy is proposed. High-quality pseudomeasurements are produced by a neural model fed with both exogenous and historical load information an...
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Main Authors: | S. Carcangiu, A. Fanni, P. A. Pegoraro, G. Sias, S. Sulis |
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Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/4281219 |
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