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Predicting Future Energy Choices Challenge
Delivered in partnership with Endeavour Energy
Why is this Challenge important?
Australia’s energy landscape is transforming rapidly. The rise of rooftop solar, electric vehicles, battery storage, and decentralised generation has created a dynamic, data-rich, and unpredictable system. Traditional forecasting methods based on historical data can no longer keep up. Accurate energy forecasting is critical for grid stability, efficient investment, and supporting the transition to net zero. Endeavour Energy serves 2.7 million people across Greater Western Sydney, the Blue Mountains, Illawarra, and the South Coast, making reliable prediction of customer energy behaviour essential.
About this Challenge
In collaboration with Greenhouse and Padang & Co, Endeavour Energy launched the Predicting Future Energy Choices Challenge to identify scalable, data-driven solutions that improve energy demand forecasting and customer insight. The challenge invited global innovators to design tools and analytics to help Endeavour Energy transition from a traditional “poles and wires” operator to a Distributed System Operator (DSO), capable of integrating renewable generation, managing complex energy flows, and delivering customer-centric energy planning.
- Enable smarter, data-driven forecasting of customer energy behaviour
- Support Endeavour Energy’s transition to a Distributed System Operator
- Accelerate adoption of AI-driven forecasting, scenario modelling, and grid analytics
- Connect global innovators with Australia’s energy sector for scalable solutions
- Strengthen strategic investment decisions and customer-centric planning
"Our partnership with Greenhouse identified some of the newest cutting edge global innovations that can help us tackle one of our most important business questions - how to predict our customers’ future energy choices.”
The Challenge process
Following Greenhouse’s proven open-innovation model, the process included:
01
Challenge Definition: Co-design workshops with 36 stakeholders defined the challenge scope, problem statements, and evaluation criteria.
02
Global Outreach: Scouted over 6,745 innovators via accelerators, universities, and startup hubs.
03
Collaboration & Engagement: Virtual info sessions with 31 global participants to clarify objectives and explore partnerships.
04
Evaluation: 30 qualified submissions assessed on scalability, feasibility, and innovation; six invited to pitch privately.
05
Outcomes: Two high-potential solutions selected for commercial discussions and pilot implementations in 2025.
06
Challenge results
6,745
Global solution providers scouted
2.6M
Digital campaign impressions
47,335
Link clicks on promotions
31
Info session attendees
30
Submissions received
6
Finalists pitched privately
2
Solutions selected for commercial discussions
Pilot implementations planned for 2025
AI, scenario modelling, and customer-centric solutions highlighted
Key Insights
- AI and machine learning are reshaping energy forecasting and renewable integration
- Customer-centric data improves predictive accuracy and solution relevance
- Early co-design with industry ensures better alignment and implementation feasibility
- Understanding future technology adoption and customer behaviour is essential for long-term planning
Partnerships
- Endeavour Energy – Challenge sponsor and innovation lead
- Greenhouse – Co-designed and delivered the challenge, managing outreach, evaluation, and showcase
- Padang & Co – Global scouting, ecosystem engagement, and outreach partner
Where We Are Now
The two selected teams are entering commercial discussions and preparing pilot implementations. Other shortlisted innovators continue to explore partnerships and research pathways within Endeavour Energy’s broader innovation program, setting the foundation for a smarter forecasting ecosystem.
Impact
The challenge has accelerated the transition toward a distributed, customer-driven, and decarbonised energy system by:
- Advancing Endeavour Energy’s transition to a Distributed System Operator
- Fostering global collaboration on critical forecasting challenges
- Laying groundwork for scalable pilots shaping future grid planning
- Strengthening Australia’s ability to manage renewable integration and customer energy choices
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