Manage disruption with AI / IoT: Balance the flow of energy and data in the modern grid

Wednesday, 17 February • 10am - 11am AEDT

In the rapidly evolving Australian energy industry, there is a need for improved decisioning and more efficient use of data as the traditional centralised energy model is disrupted by renewable energy and new technologies.

While there are clear benefits from integrating DER assets into the grid, Energy and Utility leaders are faced with technical, regulatory and business model challenges. 

To help address these challenges we are facilitating a round table discussion with key senior industry stakeholders, focussing on the use of Next Generation Energy Forecasting solutions, Artificial Intelligence of Things (AIoT), Cloud computing and machine learning.

An example of cutting-edge technology we have been working on is the IoT Innovation Lab built in partnership with the University of Technology Sydney (UTS) and Cisco which demonstrates the efficiencies and economic benefits from forecasting DER generation and its impact on the energy system.

Discussion points:

  • Innovation for a decentralised future
  • Data Flows are as important as Power Flows – AIoT and Edge Analytics
  • The importance of energy forecasting for the future electricity grid


Jonathan Butow
Artificial Intelligence of Things, Data Scientist
SAS Australia & New Zealand

Jonathan began his analytics journey saving turtles. His experience spans from being a Marine Scientist / Biologist / Environmental Engineer to leading a data visualisation, IoT, Blockchain company. Today, Jonathan assists leading Energy Utility organisations to make better decisions with technology; Artificial Intelligence, Blockchain technology and IoT. 

Dr. Gengfa Fang
Director of IoT Innovation Lab
University of Technology Sydney

Gengfa applies his expertise in Internet of Things (IoT) and machine learning technologies to the energy and healthcare industry by making them more predictable, manageable and intelligent. His main research areas are IoT streaming data analytics and machine learning, localization, 5G/6G communications and networking. His research has been funded by Cisco, SAS, Intel, NBN, and government research schemes including CRC-P and Innovation Connection.

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