Avangrid Leverages Data to Boost Grid Reliability and Customer Satisfaction
Avangrid (NYSE: AGR) has launched a new data-driven initiative to improve grid reliability and customer satisfaction at its New York subsidiaries, NYSEG and RG&E. The innovative approach uses data analytics to prioritize proactive tree maintenance, focusing on danger trees outside the distribution right-of-way. This method has resulted in more efficient removal of high-risk trees at a lower cost, significantly benefiting customer reliability.
The system analyzes critical data points such as historical line performance, customer numbers, and high-risk tree counts to determine priority levels for tree removal. This data-driven approach has led to improved efficiency and reliability for customers, especially during storm seasons. Avangrid plans to further enhance its data analytics by incorporating additional data points and integrating computer vision AI to identify risks and improve arborist safety.
Avangrid (NYSE: AGR) ha lanciato una nuova iniziativa basata sui dati per migliorare l'affidabilità della rete e la soddisfazione dei clienti presso le sue filiali a New York, NYSEG e RG&E. L'approccio innovativo utilizza l'analisi dei dati per dare priorità alla manutenzione proattiva degli alberi, concentrandosi sugli alberi pericolosi al di fuori dei diritti di passaggio della distribuzione. Questo metodo ha portato a una rimozione più efficiente degli alberi ad alto rischio a un costo inferiore, beneficiando significativamente l'affidabilità per i clienti.
Il sistema analizza punti dati critici come le prestazioni storiche delle linee, il numero di clienti e il conteggio degli alberi ad alto rischio per determinare i livelli di priorità per la rimozione degli alberi. Questo approccio basato sui dati ha migliorato l'efficienza e l'affidabilità per i clienti, specialmente durante le stagioni di tempesta. Avangrid prevede di migliorare ulteriormente la propria analisi dei dati incorporando ulteriori punti di dati e integrando l'intelligenza artificiale per la visione artificiale per identificare i rischi e migliorare la sicurezza degli arboristi.
Avangrid (NYSE: AGR) ha lanzado una nueva iniciativa impulsada por datos para mejorar la fiabilidad de la red y la satisfacción del cliente en sus filiales de Nueva York, NYSEG y RG&E. El enfoque innovador utiliza análisis de datos para priorizar el mantenimiento proactivo de árboles, centrándose en árboles peligrosos fuera del derecho de paso de distribución. Este método ha resultado en una eliminación más eficiente de árboles de alto riesgo a un costo menor, beneficiando significativamente la fiabilidad para los clientes.
El sistema analiza puntos de datos críticos como el rendimiento histórico de las líneas, el número de clientes y el conteo de árboles de alto riesgo para determinar los niveles de prioridad para la remoción de árboles. Este enfoque basado en datos ha llevado a una mejor eficiencia y fiabilidad para los clientes, especialmente durante las temporadas de tormentas. Avangrid planea mejorar aún más su análisis de datos incorporando puntos de datos adicionales e integrando inteligencia artificial de visión por computadora para identificar riesgos y mejorar la seguridad de los arboristas.
Avangrid (NYSE: AGR)는 뉴욕 자회사가 있는 NYSEG와 RG&E의 전력 그리드 신뢰성과 고객 만족도를 향상시키기 위한 새로운 데이터 기반 이니셔티브를 시작했습니다. 혁신적인 접근법은 데이터 분석을 사용하여 배전 권한 외부의 위험 나무에 대한 사전 예방 나무 유지관리에 우선 순위를 두고 있습니다. 이 방법은 높은 위험을 가진 나무의 보다 효율적인 제거와 낮은 비용을 가져오며 고객 신뢰성에 상당한 이점을 제공합니다.
이 시스템은 역사적 선 성능, 고객 수 및 높은 위험 나무 수와 같은 중요한 데이터 포인트를 분석하여 나무 제거의 우선 순위 수준을 결정합니다. 이러한 데이터 기반 접근법은 특히 폭풍우 시즌 동안 고객을 위한 효율성과 신뢰성을 개선했습니다. Avangrid는 추가 데이터 포인트를 통합하고 위험을 식별하고 임업자의 안전을 향상시키기 위해 컴퓨터 비전 AI를 통합하여 데이터 분석을 더 향상시킬 계획입니다.
Avangrid (NYSE: AGR) a lancé une nouvelle initiative axée sur les données pour améliorer la fiabilité du réseau et la satisfaction des clients dans ses filiales new-yorkaises, NYSEG et RG&E. L'approche innovante utilise l'analyse de données pour prioriser l'entretien proactif des arbres, en mettant l'accent sur les arbres dangereux situés en dehors de l'emprise de distribution. Cette méthode a entraîné une suppression plus efficace des arbres à haut risque à un coût inférieur, bénéficiant ainsi de manière significative à la fiabilité des clients.
Le système analyse des points de données critiques tels que les performances historiques des lignes, le nombre de clients et le comptage des arbres à haut risque afin de déterminer les niveaux de priorité pour l'enlèvement des arbres. Cette approche axée sur les données a conduit à une amélioration de l'efficacité et de la fiabilité pour les clients, notamment pendant les saisons de tempête. Avangrid prévoit de renforcer encore son analyse de données en intégrant des points de données supplémentaires et en intégrant une intelligence artificielle de vision par ordinateur pour identifier les risques et améliorer la sécurité des arboristes.
Avangrid (NYSE: AGR) hat eine neue datengestützte Initiative zur Verbesserung der Netzzuverlässigkeit und der Kundenzufriedenheit in seinen Tochtergesellschaften in New York, NYSEG und RG&E, gestartet. Der innovative Ansatz nutzt Datenanalysen, um proaktive Baumpflege zu priorisieren, wobei der Schwerpunkt auf gefährlichen Bäumen außerhalb des Verteilungskorridors liegt. Diese Methode hat zu einer effizienteren Entfernung hochriskanter Bäume zu geringeren Kosten geführt, was die Zuverlässigkeit für die Kunden erheblich verbessert.
Das System analysiert kritische Datenpunkte wie historische Leitungsleistungen, Kundenzahlen und Zählungen hochriskanter Bäume, um Prioritätsstufen für die Baum entfernen zu bestimmen. Dieser datengestützte Ansatz hat die Effizienz und Zuverlässigkeit für die Kunden verbessert, insbesondere während der Sturmzeiten. Avangrid plant, seine Datenanalysen weiter zu verbessern, indem zusätzliche Datenpunkte integriert und Computer Vision KI zur Identifizierung von Risiken und zur Verbesserung der Sicherheit für Arboristen hinzugefügt werden.
- Improved efficiency in danger tree removal, resulting in more trees removed at a lower cost
- Enhanced grid reliability and customer satisfaction through data-driven tree maintenance
- Potential for further improvements with planned integration of AI and additional data points
- Significant number of danger trees (over 10,600) still pose immediate risk to customers
Avangrid's innovative approach to vegetation management using data analytics is a positive development for the company and its investors. By prioritizing tree maintenance based on critical data points, NYSEG and RG&E have achieved significant efficiencies in their operations. This strategy has led to more danger trees being removed at a lower cost, which should translate to improved reliability and customer satisfaction.
From an investor's perspective, this initiative demonstrates Avangrid's commitment to operational excellence and cost optimization. The company's ability to leverage data analytics for tangible improvements in service delivery could lead to reduced operational expenses and potential regulatory benefits. Moreover, the planned integration of AI and additional data points suggests a long-term vision for continuous improvement, which could further enhance Avangrid's competitive position in the utility sector.
Avangrid's data-driven approach to vegetation management showcases a sophisticated application of data analytics in the utility sector. By consolidating millions of data points from across its utilities into a single system, Avangrid has created a powerful platform for advanced analytics. This integration enables the company to make more informed decisions, potentially leading to improved operational efficiency and resource allocation.
The planned incorporation of computer vision AI for risk identification represents a forward-thinking strategy. This technology could significantly enhance the accuracy and speed of identifying potential threats to the power grid. As Avangrid continues to evolve its data analytics capabilities, we may see a ripple effect across the utility industry, potentially setting new standards for predictive maintenance and grid resilience.
New data analytics method at NYSEG and RG&E prioritizes tree work, resulting in the companies removing more danger trees and at a cheaper cost than ever before
Analyzes critical data points like historical line performance, the number of customers served, and the number of high-risk trees in the area
“We’re always looking to innovative our tree maintenance programs because trees are a leading cause of outages for our customers,” said Pedro Azagra, Avangrid CEO. “Launching this data-driven method has evolved our approach and created many efficiencies, particularly when it comes to danger trees. These dead or decaying trees are outside of the distribution right-of-way but still pose a significant threat to the power grid. Our new prioritization method has resulted in us removing more danger trees in a month than ever before, and at a cheaper cost. This will substantially benefit our customers’ reliability, especially as are in the height of the summer storm season. I’d like to thank the New York Public Service Commission for its support of our vegetation management programs and for recognizing the value they are delivering to our customers.”
NYSEG and RG&E operate approximately 42,800 combined miles of overhead electric lines across upstate
“This approach has been a game changer,” said Erin Perry, manager of Vegetation Management at NYSEG. “With all our data pulled together into one system, I can look at our service area map and see not only where the danger trees are located, but also their risk to our customers. I’m pleased with the efficiency this has created and how it has resulted in improved reliability for our customers.”
This data analysis framework is possible thanks to Avangrid’s data consolidation efforts by its Operational Performance team. This effort integrated millions of data points from across Avangrid’s eight electric and natural gas utilities into one cohesive system, allowing for advanced data analytics in a variety of areas. Avangrid plans to continue evolving its data analytics with tree work by adding more data points—such as the details on tree species, level of tree decay or from the company’s maintenance inspections—and by integrating the company’s computer vision artificial intelligence (AI) system to help identify risks and field conditions, leading to improved safety for its arborists.
About Avangrid: Avangrid, Inc. (NYSE: AGR) aspires to be the leading sustainable energy company in
View source version on businesswire.com: https://www.businesswire.com/news/home/20240821027729/en/
Media:
Sarah Warren
sarah.warren@avangrid.com
585-794-9253
Source: AVANGRID, Inc.
FAQ
How is Avangrid (AGR) using data analytics to improve grid reliability?
What benefits has Avangrid's (AGR) new tree maintenance approach delivered?
How many miles of overhead electric lines do NYSEG and RG&E operate?
What future improvements does Avangrid (AGR) plan for its tree maintenance program?
