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EnglishI n this paper, an evaluation approach for analyzing the weather’s impact on the number of daily outages in the urban distribution system is explored. By dividing the number of outag es into two levels, the task could be carried out as a binary classification problem. In this study, the actual outage data from the distribution system operator is analyzed together with the local weat her condition records. First, the tendency of differen t outage levels to weather conditions is described by the Principal Component Analysis (PCA). Then, the Support Vector Machine (SVM) algorithm is adopted to build the classification model for predicting the outag e levels based on the weather condition. An oversampling method is introduced to manage the severe imbalance between the two outage levels. At the end, the performance of the classification model is assessed with the Receiver Operating Characteristic (ROC) curve.
Discussion about the Weather Impact on the Daily Outages in Urban Distribution System / Zhang, Yang; Mazza, Andrea; Bompard, ETTORE FRANCESCO; Roggero, Emiliano; Galofaro, Giuliana. - ELETTRONICO. - (2019). ((Intervento presentato al convegno 54th International Universities Power Engineering Conference (UPEC 2019) tenutosi a Bucharest (Romania) nel 3-6 September 2019.
| Titolo: | Discussion about the Weather Impact on the Daily Outages in Urban Distribution System |
| Autori: | |
| Data di pubblicazione: | 2019 |
| Abstract: | I n this paper, an evaluation approach for analyzing the weather’s impact on the nu...mber of daily outages in the urban distribution system is explored. By dividing the number of outag es into two levels, the task could be carried out as a binary classification problem. In this study, the actual outage data from the distribution system operator is analyzed together with the local weat her condition records. First, the tendency of differen t outage levels to weather conditions is described by the Principal Component Analysis (PCA). Then, the Support Vector Machine (SVM) algorithm is adopted to build the classification model for predicting the outag e levels based on the weather condition. An oversampling method is introduced to manage the severe imbalance between the two outage levels. At the end, the performance of the classification model is assessed with the Receiver Operating Characteristic (ROC) curve. |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| Zhang19_UPEC_web.pdf | 1. Preprint / Submitted Version | PUBBLICO - Tutti i diritti riservati | Visibile a tuttiVisualizza/Apri | |
| 08893522.pdf | Articolo principale versione post-print editoriale | 2a Post-print versione editoriale / Version of Record | Non Pubblico - Accesso privato/ristretto | Administrator Richiedi una copia |
http://hdl.handle.net/11583/2751855
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