ANALYTICS 4 ASSETS - THE ADVANCED ASSET MANAGEMENT PROJECT

E-REDES concluded in June 2020 an advanced asset management project, called Analytics 4 Assets (A4A), leveraging data and analytical models to enhance health index and probability of failure calculations. The A4A project was delivered in 8 months with a multidisciplinary team with more than 70 people, from 4 different companies: E-REDES (DSO), DGU (EDP Group Digital Global Unit), LABELEC (EDP Group laboratory) and Accenture. The project scope has eight main building blocks (mVP – minimum viable products) because it was implemented as Digital Boost: 2 Dashboards designed in MS Power Bi; 2 Analytical models (Probability of Failure Models for HV Circuit Breakers, HV Overhead Lines sections) and 3 Health Index models for the same assets and for Power Transformers (based on Common Network Asset Indices Methodology), mostly developed in python and pyspark, using Azure Databricks; 1 Data Lake. This project is a breakthrough because the developed models are applied to all the assets in scope (∼750 Power Transformers, ∼2.000 Circuit Breakers, ∼2.600 Overhead Line sections) with automated data sources allowing significant improvements in asset management decisions. Furthermore, it contributes to democratization of decision information across the organization and leverages a data-driven culture.