Climate informed energy demand modelling for regional communities
Energy systems operating in regional and remote environments are increasingly affected by rising temperatures, changing weather patterns and evolving customer energy consumption behaviours.
These factors are introducing new challenges for engineers responsible for planning, forecasting and maintaining reliable electricity networks.
This presentation will explore how climate-informed demand and energy forecasting methods can be used to improve planning under uncertain future conditions. Attendees will gain insight into scenario-based forecasting approaches, the incorporation of climate variables into demand models, and the role of uncertainty analysis in supporting engineering decision-making.
Drawing on practical experience from regional Western Australian power systems, the session will highlight challenges, lessons learned and considerations for engineers seeking to strengthen system resilience and support long-term climate adaptation planning.
Learning outcomes
In this presentation, you will learn:
How climate change can influence electricity demand and energy forecasting in regional and remote communities
How climate variables can be incorporated into demand forecasting models.
The principles and benefits of scenario-based forecasting for managing uncertainty.
Considerations for using forecasting insights to support infrastructure planning and climate adaptation initiatives.
Program
Online (AEDT)
8:30 pm: Event welcome
8:35 pm: Presentation commences
9:15 pm: Q&A session and closing remarks
9:30 pm: Event Concludes