As several countries across Europe are actively involved in smart grid roll outs or pilot programs, utilities are facing increasingly complicated data integration and analysis challenges. Many are struggling to integrate massive volumes of AMI data generated by millions of smart meters, with SCADA data and other OT and IT data sources throughout their connected networks. This webinar will take an in-depth look at what’s next after starting a smart grid roll out, and how utilities can make the process smoother to best address the data challenges looming just around the corner.
Bit Stew Systems has deep experience working closely with BC Hydro and many other leading utilities around the globe on their smart meter roll outs and data architecture challenges. This webinar will address the common issues utilities experience throughout the lifecycle of a smart grid roll out and beyond, including:
- Deployment – How to manage multiple asset types, vendors, varying SLAs, complex provisioning and commissioning processes and troubleshooting deployment issues such as non-communicating devices
- Reconciliation – Easily and accurately verifying data from numerous sources (vendors, internal teams, IT/OT systems and more), and ensuring proper processes are in place
- Operations – Troubleshooting AMI network issues, from non-communicating devices to missed interval reads and events/alarms. Addressing operational issues through a multitude of system interfaces using a “manager of manager’s view” fully or partially automated issue response workflows, and providing operators with context-aware views that enable improved decision making
Hear from the experts at BC Hydro
David DeYagher, Senior Manager, Field Device Operations at BC Hydro, and Alan Mah, Meter and Mesh Operations Lead, will lead this webinar to share their first-hand experience solving the data challenges of rolling out a two million meter smart meter deployment as part of a Smart Grid journey. Both will describe how BC Hydro leveraged Bit Stew’s purpose-built platform to quickly integrate massive volumes of data from multiple sources and apply real-time analytics at scale. They will share lessons learned, examples of the use of this data from BC Hydro’s systems, and BC Hydro’s vision for the next phase of the smart grid using this platform.
Attendees to this webinar will also take in a live demo to learn best practices and a recommended data architecture approach for:
- Using a semantic data model to quickly and efficiently integrate data from multiple disparate sources, including AMI and SCADA data
- Applying real-time analytics, complex event processing and machine learning to massive volumes of industrial data to provide operators with actionable insights and situational awareness to make smarter decisions and improve operations