What’s Next for Energy Forecasting? Keeping Pace with a Changing Market | Duncan Bain, SAS

In this episode of the Hypercube Podcast, we welcome a new voice behind the mic - Ivona Voroneckaja, Engineering Manager and former Senior Data Scientist at Hypercube - as she speaks with Duncan Bain, Senior Systems Engineer at SAS UK, about how innovation and intelligence are redefining energy forecasting.

They explore how AI-driven modelling and decentralised energy systems are transforming the way organisations forecast demand, generation, and pricing - using approaches that range from traditional methods like ARIMA to advanced LSTM and hybrid CNN-LSTM models that combine human expertise with machine learning.

Duncan shares how SAS empowers forecasting teams through cloud-based, data-driven tools, while Ivona offers a practitioner’s view on turning insights into real-world action.

Upcoming Webinar:

This episode also highlights The Future of Energy Forecasting webinar, hosted in partnership with SAS. The session offers a deeper dive into how organisations can navigate market volatility and accelerate innovation in energy forecasting.

A grounded, forward-looking discussion on what’s next in energy forecasting, and how AI, data, and human insight are helping the sector stay ahead of change.

Ivona and Duncan discuss:

• The cost of poor forecasting and market penalties
• Modelling renewables, electrification, and volatility
• Using AI, synthetic data, and cloud platforms for smarter forecasts
• Building trust and transparency into predictive models
• The next frontier - from hybrid AI to quantum optimisation